Model Selection in Historical Research Using Approximate Bayesian Computation

Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our understanding of past societies based on their written sources. The ext...

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Vydáno v:	PloS one Ročník 11; číslo 1; s. e0146491
Hlavní autor:	Rubio-Campillo, Xavier
Médium:	Journal Article Publikace
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 05.01.2016 Public Library of Science (PLoS)
Témata:	Algorithms Analysis Archaeology Bayes Theorem Bayesian analysis Bayesian Computation Biology Case studies Computation Computational Biology - methods Computational Biology - statistics & numerical data Computer applications Computer Simulation Enginyeria mecànica Estadística bayesiana Evaluation Evolution Fatigue Formulations Historians Historical analysis Historical dynamics Historical research Història Humans Hypotheses Markov analysis Mathematical models Metodologia Model-Based History Models, Theoretical Parameter estimation Post traumatic stress disorder Quantitative psychology Reproducibility of Results Social behavior Studies Warfare Warfare and Armed Conflicts - statistics & numerical data Wounds and Injuries Àrees temàtiques de la UPC United States
ISSN:	1932-6203, 1932-6203
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Abstract	Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our understanding of past societies based on their written sources. The extensive use of formal models allows historians to re-evaluate hypotheses formulated decades ago and still subject to debate due to the lack of an adequate quantitative framework. The initiative has the potential to transform the discipline if it solves the challenges posed by the study of historical dynamics. These difficulties are based on the complexities of modelling social interaction, and the methodological issues raised by the evaluation of formal models against data with low sample size, high variance and strong fragmentation. This work examines an alternate approach to this evaluation based on a Bayesian-inspired model selection method. The validity of the classical Lanchester's laws of combat is examined against a dataset comprising over a thousand battles spanning 300 years. Four variations of the basic equations are discussed, including the three most common formulations (linear, squared, and logarithmic) and a new variant introducing fatigue. Approximate Bayesian Computation is then used to infer both parameter values and model selection via Bayes Factors. Results indicate decisive evidence favouring the new fatigue model. The interpretation of both parameter estimations and model selection provides new insights into the factors guiding the evolution of warfare. At a methodological level, the case study shows how model selection methods can be used to guide historical research through the comparison between existing hypotheses and empirical evidence.
AbstractList	Formal Models and History Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our understanding of past societies based on their written sources. The extensive use of formal models allows historians to reevaluate hypotheses formulated decades ago and still subject to debate due to the lack of an adequate quantitative framework. The initiative has the potential to transform the discipline if it solves the challenges posed by the study of historical dynamics. These difficulties are based on the complexities of modelling social interaction, and the methodological issues raised by the evaluation of formal models against data with low sample size, high variance and strong fragmentation. This work examines an alternate approach to this evaluation based on a Bayesian-inspired model selection method. The validity of the classical Lanchester's laws of combat is examined against a dataset comprising over a thousand battles spanning 300 years. Four variations of the basic equations are discussed, including the three most common formulations (linear, squared, and logarithmic) and a new variant introducing fatigue. Approximate Bayesian Computation is then used to infer both parameter values and model selection via Bayes Factors. Results indicate decisive evidence favouring the new fatigue model. The interpretation of both parameter estimations and model selection provides new insights into the factors guiding the evolution of warfare. At a methodological level, the case study shows how model selection methods can be used to guide historical research through the comparison between existing hypotheses and empirical evidence. Funding for this work was provided by the SimulPast Consolider Ingenio project (CSD2010-00034) of the former Ministry for Science and Innovation of the Spanish Government and the European Research Council Advanced Grant EPNet (340828). Peer Reviewed Formal Models and History Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our understanding of past societies based on their written sources. The extensive use of formal models allows historians to re-evaluate hypotheses formulated decades ago and still subject to debate due to the lack of an adequate quantitative framework. The initiative has the potential to transform the discipline if it solves the challenges posed by the study of historical dynamics. These difficulties are based on the complexities of modelling social interaction, and the methodological issues raised by the evaluation of formal models against data with low sample size, high variance and strong fragmentation. Case Study This work examines an alternate approach to this evaluation based on a Bayesian-inspired model selection method. The validity of the classical Lanchester's laws of combat is examined against a dataset comprising over a thousand battles spanning 300 years. Four variations of the basic equations are discussed, including the three most common formulations (linear, squared, and logarithmic) and a new variant introducing fatigue. Approximate Bayesian Computation is then used to infer both parameter values and model selection via Bayes Factors. Impact Results indicate decisive evidence favouring the new fatigue model. The interpretation of both parameter estimations and model selection provides new insights into the factors guiding the evolution of warfare. At a methodological level, the case study shows how model selection methods can be used to guide historical research through the comparison between existing hypotheses and empirical evidence. Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our understanding of past societies based on their written sources. The extensive use of formal models allows historians to re-evaluate hypotheses formulated decades ago and still subject to debate due to the lack of an adequate quantitative framework. The initiative has the potential to transform the discipline if it solves the challenges posed by the study of historical dynamics. These difficulties are based on the complexities of modelling social interaction, and the methodological issues raised by the evaluation of formal models against data with low sample size, high variance and strong fragmentation. This work examines an alternate approach to this evaluation based on a Bayesian-inspired model selection method. The validity of the classical Lanchester's laws of combat is examined against a dataset comprising over a thousand battles spanning 300 years. Four variations of the basic equations are discussed, including the three most common formulations (linear, squared, and logarithmic) and a new variant introducing fatigue. Approximate Bayesian Computation is then used to infer both parameter values and model selection via Bayes Factors. Results indicate decisive evidence favouring the new fatigue model. The interpretation of both parameter estimations and model selection provides new insights into the factors guiding the evolution of warfare. At a methodological level, the case study shows how model selection methods can be used to guide historical research through the comparison between existing hypotheses and empirical evidence. Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our understanding of past societies based on their written sources. The extensive use of formal models allows historians to re-evaluate hypotheses formulated decades ago and still subject to debate due to the lack of an adequate quantitative framework. The initiative has the potential to transform the discipline if it solves the challenges posed by the study of historical dynamics. These difficulties are based on the complexities of modelling social interaction, and the methodological issues raised by the evaluation of formal models against data with low sample size, high variance and strong fragmentation.FORMAL MODELS AND HISTORYComputational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our understanding of past societies based on their written sources. The extensive use of formal models allows historians to re-evaluate hypotheses formulated decades ago and still subject to debate due to the lack of an adequate quantitative framework. The initiative has the potential to transform the discipline if it solves the challenges posed by the study of historical dynamics. These difficulties are based on the complexities of modelling social interaction, and the methodological issues raised by the evaluation of formal models against data with low sample size, high variance and strong fragmentation.This work examines an alternate approach to this evaluation based on a Bayesian-inspired model selection method. The validity of the classical Lanchester's laws of combat is examined against a dataset comprising over a thousand battles spanning 300 years. Four variations of the basic equations are discussed, including the three most common formulations (linear, squared, and logarithmic) and a new variant introducing fatigue. Approximate Bayesian Computation is then used to infer both parameter values and model selection via Bayes Factors.CASE STUDYThis work examines an alternate approach to this evaluation based on a Bayesian-inspired model selection method. The validity of the classical Lanchester's laws of combat is examined against a dataset comprising over a thousand battles spanning 300 years. Four variations of the basic equations are discussed, including the three most common formulations (linear, squared, and logarithmic) and a new variant introducing fatigue. Approximate Bayesian Computation is then used to infer both parameter values and model selection via Bayes Factors.Results indicate decisive evidence favouring the new fatigue model. The interpretation of both parameter estimations and model selection provides new insights into the factors guiding the evolution of warfare. At a methodological level, the case study shows how model selection methods can be used to guide historical research through the comparison between existing hypotheses and empirical evidence.IMPACTResults indicate decisive evidence favouring the new fatigue model. The interpretation of both parameter estimations and model selection provides new insights into the factors guiding the evolution of warfare. At a methodological level, the case study shows how model selection methods can be used to guide historical research through the comparison between existing hypotheses and empirical evidence. Formal Models and History Formal Models and History Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our understanding of past societies based on their written sources. The extensive use of formal models allows historians to re-evaluate hypotheses formulated decades ago and still subject to debate due to the lack of an adequate quantitative framework. The initiative has the potential to transform the discipline if it solves the challenges posed by the study of historical dynamics. These difficulties are based on the complexities of modelling social interaction, and the methodological issues raised by the evaluation of formal models against data with low sample size, high variance and strong fragmentation. Case Study This work examines an alternate approach to this evaluation based on a Bayesian-inspired model selection method. The validity of the classical Lanchester’s laws of combat is examined against a dataset comprising over a thousand battles spanning 300 years. Four variations of the basic equations are discussed, including the three most common formulations (linear, squared, and logarithmic) and a new variant introducing fatigue. Approximate Bayesian Computation is then used to infer both parameter values and model selection via Bayes Factors. Impact Results indicate decisive evidence favouring the new fatigue model. The interpretation of both parameter estimations and model selection provides new insights into the factors guiding the evolution of warfare. At a methodological level, the case study shows how model selection methods can be used to guide historical research through the comparison between existing hypotheses and empirical evidence.
Audience	Academic
Author	Rubio-Campillo, Xavier
AuthorAffiliation	New York State Museum, UNITED STATES Computer Applications in Science & Engineering department, Barcelona Supercomputing Centre, Barcelona, Spain
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BackLink	https://www.ncbi.nlm.nih.gov/pubmed/26730953$$D View this record in MEDLINE/PubMed
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Cites_doi	10.1108/01443570210414338 10.1371/journal.pcbi.1002803 10.2307/271063 10.1016/j.evolhumbehav.2014.11.001 10.1146/annurev-ecolsys-102209-144621 10.1093/ahr/120.2.530 10.2307/3803199 10.1016/j.tree.2010.04.001 10.1109/WI-IAT.2014.196 10.1016/j.tree.2003.10.013 10.1057/jos.2012.25 10.1006/jmps.1999.1276 10.1037/1082-989X.5.2.241 10.1111/j.1475-4754.1995.tb00723.x 10.1002/nav.10101 10.2307/279061 10.1016/j.jas.2013.12.019 10.1073/pnas.072081299 10.1126/science.1240064 10.1016/S0377-2217(02)00462-9 10.4324/9781410601155 10.1534/genetics.109.102509 10.1073/pnas.0306899100 10.1016/j.jas.2014.07.014 10.1093/beheco/arg061 10.1534/genetics.109.109058 10.1098/rspb.2005.3162 10.1002/evan.20134 10.1002/1520-6750(199506)42:4<609::AID-NAV3220420408>3.0.CO;2-W 10.1287/opre.2.2.163 10.1038/nature09461 10.1287/opre.22.4.756 10.1002/1520-6750(200010)47:7<541::AID-NAV1>3.0.CO;2-0 10.1287/opre.14.5.759 10.1016/j.ejor.2010.11.009 10.1142/9789814295895_0009 10.1016/j.jmp.2012.02.005 10.1177/154851290800500101 10.2979/3516.0 10.1109/WSC.2012.6465043 10.1093/oxfordjournals.molbev.a026091 10.1287/opre.10.6.818 10.1093/genetics/162.4.2025 10.1017/9781139923880 10.1080/01621459.1995.10476572 10.1073/pnas.1102900108 10.1093/ahr/120.2.543 10.1080/00220970209602058
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Copyright	COPYRIGHT 2016 Public Library of Science 2016 Xavier Rubio-Campillo. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Attribution 4.0 International License https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess 2016 Xavier Rubio-Campillo 2016 Xavier Rubio-Campillo
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Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: The author has declared that no competing interests exist. Conceived and designed the experiments: XRC. Performed the experiments: XRC. Analyzed the data: XRC. Contributed reagents/materials/analysis tools: XRC. Wrote the paper: XRC.
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References	ref12 ref14 K Csilléry (ref62) 2010; 25 M Kovacevic (ref65) 2015 EL Shelley (ref47) 2004; 106 ref55 P Turchin (ref2) 2008; 454 DDP Johnson (ref49) 2015; 36 MJ Artelli (ref44) 2008; 5 ref16 D Armitage (ref6) 2015; 120 JM Epstein (ref1) 2008; 11 RP Abelson (ref19) 2012 M Wiper (ref53) 2000; 47 MA Beaumont (ref63) 2010; 41 W Zucchini (ref24) 2000; 44 GL Cowgill (ref23) 1977 S Jørgensen (ref50) 2015 AS Malkov (ref11) 2014; 5 BM Turner (ref61) 2012; 56 D Cohen (ref5) 2015; 120 P Sabin (ref36) 2012 SJ Deitchman (ref39) 1962; 10 M Sunnåker (ref60) 2013; 9 K Hoganson (ref8) 2014 A Kandler (ref33) 2015 J Guldi (ref4) 2014 AE Raftery (ref25) 1995; 25 CD Litton (ref29) 1995; 37 X Rubio-Campillo (ref35) 2014; 4 P Marjoram (ref68) 2003; 100 E Slingerland (ref3) 2011 TE Currie (ref7) 2010; 467 JB Johnson (ref27) 2004; 19 X Rubio-Campillo (ref13) 2013; 7 MC Towner (ref28) 2007; 16 M Porčić (ref64) 2015 SC Bankes (ref17) 2002; 99 HK Weiss (ref40) 1966; 14 RF Weigley (ref56) 2004 D Wegmann (ref67) 2009; 182 JH Engel (ref38) 1954; 2 TW Lucas (ref43) 2004; 51 MA Beaumont (ref58) 2002; 162 DLI Kirkpatrick (ref42) 1985; 130 NJR Plowes (ref48) 2005; 272 CE Buck (ref32) 2015 R Sigrist (ref15) 2011; vol. 21 C Leuenberger (ref59) 2010; 184 SJ Eve (ref30) 2014; 43 P Turchin (ref9) 2003 CD Allen (ref51) 1990 E Gonzàlez (ref45) 2011; 210 CP Robert (ref69) 2011; 108 DS Hartley (ref52) 1995; 42 FW Lanchester (ref37) 1956; 4 JK Kruschke (ref57) 2014 ER Crema (ref31) 2014; 50 P Turchin (ref10) 2012; 3 RE Kass (ref70) 1995; 90 RS Nickerson (ref21) 2000; 5 JG Taylor (ref41) 1974; 22 JK Pritchard (ref66) 1999; 16 LI Pettit (ref54) 2003; 148 J Will M Bertrand (ref34) 2002; 22 JA Gliner (ref20) 2002; 71 DR Anderson (ref22) 2000 ES Adams (ref46) 2003; 14 SB McGrayne (ref26) 2011 M Schich (ref18) 2014; 345
References_xml	– volume: 22 start-page: 241 issue: 2 year: 2002 ident: ref34 article-title: Operations management research methodologies using quantitative modeling publication-title: International Journal of Operations & Production Management doi: 10.1108/01443570210414338 – volume: 9 start-page: e1002803 issue: 1 year: 2013 ident: ref60 article-title: Approximate Bayesian Computation publication-title: PLoS Computational Biology doi: 10.1371/journal.pcbi.1002803 – volume: 25 start-page: 111 year: 1995 ident: ref25 article-title: Bayesian model selection in social research publication-title: Sociological methodology doi: 10.2307/271063 – volume: 106 start-page: 395 issue: 2 year: 2004 ident: ref47 article-title: Can Lanchester’s laws help explain interspecific dominance in birds? The Condor publication-title: Can Lanchester’s laws help explain interspecific dominance in birds? The Condor – volume: 36 start-page: 152 issue: 2 year: 2015 ident: ref49 article-title: Fight the power: Lanchester’s laws of combat in human evolution publication-title: Evolution and Human Behavior doi: 10.1016/j.evolhumbehav.2014.11.001 – volume: 41 start-page: 379 issue: 1 year: 2010 ident: ref63 article-title: Approximate Bayesian Computation in Evolution and Ecology publication-title: Annual Review of Ecology, Evolution, and Systematics doi: 10.1146/annurev-ecolsys-102209-144621 – volume: 120 start-page: 530 issue: 2 year: 2015 ident: ref5 article-title: The History Manifesto: A Critique publication-title: The American Historical Review doi: 10.1093/ahr/120.2.530 – start-page: 912 year: 2000 ident: ref22 article-title: Null hypothesis testing: problems, prevalence, and an alternative publication-title: The journal of wildlife management doi: 10.2307/3803199 – volume: 25 start-page: 410 issue: 7 year: 2010 ident: ref62 article-title: Approximate Bayesian Computation (ABC) in practice publication-title: Trends in Ecology & Evolution doi: 10.1016/j.tree.2010.04.001 – ident: ref14 doi: 10.1109/WI-IAT.2014.196 – volume: 19 start-page: 101 issue: 2 year: 2004 ident: ref27 article-title: Model selection in ecology and evolution publication-title: Trends in Ecology & Evolution doi: 10.1016/j.tree.2003.10.013 – volume: 7 start-page: 170 issue: 3 year: 2013 ident: ref13 article-title: The development of new infantry tactics during the early eighteenth century: a computer simulation approach to modern military history publication-title: Journal of Simulation doi: 10.1057/jos.2012.25 – volume: 44 start-page: 41 issue: 1 year: 2000 ident: ref24 article-title: An Introduction to Model Selection publication-title: Journal of Mathematical Psychology doi: 10.1006/jmps.1999.1276 – volume: 5 start-page: 241 issue: 2 year: 2000 ident: ref21 article-title: Null hypothesis significance testing: a review of an old and continuing controversy publication-title: Psychological methods doi: 10.1037/1082-989X.5.2.241 – volume: 37 start-page: 1 issue: 1 year: 1995 ident: ref29 article-title: The Bayesian approach to the interpretation of archaeological data publication-title: Archaeometry doi: 10.1111/j.1475-4754.1995.tb00723.x – volume: 51 start-page: 95 issue: 1 year: 2004 ident: ref43 article-title: Fitting Lanchester equations to the battles of Kursk and Ardennes publication-title: Naval Research Logistics doi: 10.1002/nav.10101 – start-page: 350 year: 1977 ident: ref23 article-title: The trouble with significance tests and what we can do about it publication-title: American Antiquity doi: 10.2307/279061 – volume: 43 start-page: 267 year: 2014 ident: ref30 article-title: A house with a view? Multi-model inference, visibility fields, and point process analysis of a Bronze Age settlement on Leskernick Hill (Cornwall, UK) publication-title: Journal of Archaeological Science doi: 10.1016/j.jas.2013.12.019 – volume: 99 start-page: 7199 issue: suppl 3 year: 2002 ident: ref17 article-title: Agent-based modeling: A revolution? publication-title: Proceedings of the National Academy of Sciences doi: 10.1073/pnas.072081299 – volume: 345 start-page: 558 issue: 6196 year: 2014 ident: ref18 article-title: A network framework of cultural history publication-title: Science doi: 10.1126/science.1240064 – year: 2003 ident: ref9 article-title: Historical dynamics. why states rise and fall publication-title: Princeton studies in complexity – volume: 148 start-page: 152 issue: 1 year: 2003 ident: ref54 article-title: Bayesian inference for some Lanchester combat laws publication-title: European Journal of Operational Research doi: 10.1016/S0377-2217(02)00462-9 – year: 2014 ident: ref57 article-title: A Tutorial with R, JAGS, and Stan – year: 2012 ident: ref19 article-title: Statistics as principled argument doi: 10.4324/9781410601155 – volume: 182 start-page: 1207 issue: 4 year: 2009 ident: ref67 article-title: Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood publication-title: Genetics doi: 10.1534/genetics.109.102509 – start-page: 1 year: 2015 ident: ref32 article-title: On being a good Bayesian publication-title: World Archaeology – volume: 100 start-page: 15324 issue: 26 year: 2003 ident: ref68 article-title: Markov chain Monte Carlo without likelihoods publication-title: Proceedings of the National Academy of Sciences doi: 10.1073/pnas.0306899100 – volume: 50 start-page: 160 year: 2014 ident: ref31 article-title: An Approximate Bayesian Computation approach for inferring patterns of cultural evolutionary change publication-title: Journal of Archaeological Science doi: 10.1016/j.jas.2014.07.014 – volume: 14 start-page: 719 issue: 5 year: 2003 ident: ref46 article-title: Lanchester’s attrition models and fights among social animals publication-title: Behavioral Ecology doi: 10.1093/beheco/arg061 – volume: 4 start-page: 255 issue: 2 year: 2014 ident: ref35 article-title: An evolutionary approach to military history publication-title: Revista Universitaria de Historia Militar – volume: 184 start-page: 243 issue: 1 year: 2010 ident: ref59 article-title: Bayesian Computation and Model Selection Without Likelihoods publication-title: Genetics doi: 10.1534/genetics.109.109058 – volume: 272 start-page: 1809 issue: 1574 year: 2005 ident: ref48 article-title: An empirical test of Lanchester’s square law: mortality during battles of the fire ant Solenopsis invicta publication-title: Proceedings of the Royal Society B: Biological Sciences doi: 10.1098/rspb.2005.3162 – year: 2011 ident: ref3 article-title: Creating consilience: integrating the sciences and the humanities – start-page: 1 year: 2015 ident: ref64 article-title: The Approximate Bayesian Computation approach to reconstructing population dynamics and size from settlement data: demography of the Mesolithic-Neolithic transition at Lepenski Vir publication-title: Archaeological and Anthropological Sciences – volume: 11 start-page: 12 issue: 4 year: 2008 ident: ref1 article-title: Why model? publication-title: Journal of Artificial Societies and Social Simulation – volume: 16 start-page: 107 issue: 3 year: 2007 ident: ref28 article-title: Alternative statistical approaches to the use of data as evidence for hypotheses in human behavioral ecology publication-title: Evolutionary Anthropology: Issues, News, and Reviews doi: 10.1002/evan.20134 – volume: 42 start-page: 609 issue: 4 year: 1995 ident: ref52 article-title: Validating Lanchester’s square law and other attrition models publication-title: Naval Research Logistics doi: 10.1002/1520-6750(199506)42:4<609::AID-NAV3220420408>3.0.CO;2-W – volume: 2 start-page: 163 issue: 2 year: 1954 ident: ref38 article-title: A verification of Lanchester’s law publication-title: Journal of the Operations Research Society of America doi: 10.1287/opre.2.2.163 – volume: 467 start-page: 801 issue: 7317 year: 2010 ident: ref7 article-title: Rise and fall of political complexity in island South-East Asia and the Pacific publication-title: Nature doi: 10.1038/nature09461 – volume: 22 start-page: 756 issue: 4 year: 1974 ident: ref41 article-title: Solving Lanchester-Type Equations for “Modern Warfare” with Variable Coefficients publication-title: Operations Research doi: 10.1287/opre.22.4.756 – year: 2011 ident: ref26 article-title: The theory that would not die: how Bayes’ rule cracked the enigma code, hunted down Russian submarines, & emerged triumphant from two centuries of controversy – year: 2015 ident: ref50 article-title: Defensive, Offensive, and Generic Advertising in a Lanchester Model with Market Growth publication-title: Dynamic Games and Applications – start-page: 1 year: 2014 ident: ref8 article-title: Proceedings of the 2014 ACM Southeast Regional Conference – volume: 5 issue: 1 year: 2014 ident: ref11 article-title: The Silk Roads: a Mathematical Model publication-title: Cliodynamics: The Journal of Quantitative History and Cultural Evolution – year: 2012 ident: ref36 article-title: Simulating war: Studying conflict through simulation games – volume: 47 start-page: 541 issue: 7 year: 2000 ident: ref53 article-title: Bayesian inference for a Lanchester type combat model publication-title: Naval Research Logistics (NRL) doi: 10.1002/1520-6750(200010)47:7<541::AID-NAV1>3.0.CO;2-0 – start-page: 85 year: 2015 ident: ref33 article-title: Learning Strategies and Cultural Evolution during the Palaeolithic – volume: 14 start-page: 759 issue: 5 year: 1966 ident: ref40 article-title: Combat Models and Historical Data: The U.S. Civil War publication-title: Operations Research doi: 10.1287/opre.14.5.759 – volume: 210 start-page: 706 issue: 3 year: 2011 ident: ref45 article-title: Spatial Lanchester models publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2010.11.009 – start-page: 103 year: 2015 ident: ref65 article-title: Simulating Geographical Variation in Material Culture: Were Early Modern Humans in Europe Ethnically Structured? – ident: ref16 doi: 10.1142/9789814295895_0009 – ident: ref55 – volume: 454 start-page: 34 issue: 7200 year: 2008 ident: ref2 article-title: Arise’cliodynamics’ publication-title: Nature – volume: 56 start-page: 69 issue: 2 year: 2012 ident: ref61 article-title: A tutorial on approximate Bayesian computation publication-title: Journal of Mathematical Psychology doi: 10.1016/j.jmp.2012.02.005 – volume: 5 start-page: 1 issue: 1 year: 2008 ident: ref44 article-title: Modeling the Lanchester Laws with System Dynamics publication-title: The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology doi: 10.1177/154851290800500101 – year: 2004 ident: ref56 article-title: The age of battles: The quest for decisive warfare from Breitenfeld to Waterloo doi: 10.2979/3516.0 – volume: 3 issue: 2 year: 2012 ident: ref10 article-title: A historical database of sociocultural evolution publication-title: Cliodynamics: The Journal of Theoretical and Mathematical History – ident: ref12 doi: 10.1109/WSC.2012.6465043 – volume: 16 start-page: 1791 issue: 12 year: 1999 ident: ref66 article-title: Population growth of human Y chromosomes: a study of Y chromosome microsatellites publication-title: Molecular Biology and Evolution doi: 10.1093/oxfordjournals.molbev.a026091 – volume: 10 start-page: 818 issue: 6 year: 1962 ident: ref39 article-title: A Lanchester model of guerrilla warfare publication-title: Operations Research doi: 10.1287/opre.10.6.818 – volume: 130 start-page: 25 issue: 2 year: 1985 ident: ref42 article-title: Do lanchester’s equations adequately model real battles? The RUSI Journal publication-title: Do lanchester’s equations adequately model real battles? The RUSI Journal – volume: 162 start-page: 2025 issue: 4 year: 2002 ident: ref58 article-title: Approximate Bayesian computation in population genetics publication-title: Genetics doi: 10.1093/genetics/162.4.2025 – year: 2014 ident: ref4 article-title: The History Manifesto doi: 10.1017/9781139923880 – volume: 4 start-page: 2138 year: 1956 ident: ref37 article-title: Mathematics in warfare publication-title: The world of mathematics – volume: vol. 21 start-page: 0347 year: 2011 ident: ref15 article-title: Training links and transmission of knowledge in 18th Century botany: a social network analysis publication-title: Redes: revista hispana para el análisis de redes sociales – volume: 90 start-page: 773 issue: 430 year: 1995 ident: ref70 article-title: Bayes Factors publication-title: Journal of the American Statistical Association doi: 10.1080/01621459.1995.10476572 – year: 1990 ident: ref51 article-title: Evolution of Modern Battle: an Analysis of Historical Data publication-title: School of Advanced Military Studies – volume: 108 start-page: 15112 issue: 37 year: 2011 ident: ref69 article-title: Lack of confidence in approximate Bayesian computation model choice publication-title: Proceedings of the National Academy of Sciences doi: 10.1073/pnas.1102900108 – volume: 120 start-page: 543 issue: 2 year: 2015 ident: ref6 article-title: The History Manifesto: A Reply to Deborah Cohen and Peter Mandler publication-title: The American Historical Review doi: 10.1093/ahr/120.2.543 – volume: 71 start-page: 83 issue: 1 year: 2002 ident: ref20 article-title: Problems with null hypothesis significance testing (NHST): what do the textbooks say? publication-title: The Journal of Experimental Education doi: 10.1080/00220970209602058
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Snippet	Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently... Formal Models and History Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based... Formal Models and History FORMAL MODELS AND HISTORY:Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based... Formal Models and History Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based...
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SubjectTerms	Algorithms Analysis Archaeology Bayes Theorem Bayesian analysis Bayesian Computation Biology Case studies Computation Computational Biology - methods Computational Biology - statistics & numerical data Computer applications Computer Simulation Enginyeria mecànica Estadística bayesiana Evaluation Evolution Fatigue Formulations Historians Historical analysis Historical dynamics Historical research Història Humans Hypotheses Markov analysis Mathematical models Metodologia Model-Based History Models, Theoretical Parameter estimation Post traumatic stress disorder Quantitative psychology Reproducibility of Results Social behavior Studies Warfare Warfare and Armed Conflicts - statistics & numerical data Wounds and Injuries Àrees temàtiques de la UPC
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Title	Model Selection in Historical Research Using Approximate Bayesian Computation
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