Výsledky vyhledávání - "MCMC sampling algorithm"

Bayesian Financial Panel Data Model based on MCMC Sampling Algorithm

Autoři: Ouyang Ji Liu Yang

Zdroj: 2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE). :1-4

Témata: 0101 mathematics, 01 natural sciences

Optimization of MCMC sampling algorithm for the calculation of PAC-Bayes bound

Autoři: Zheng Zhao Li Tang Xiujun Gong a další

Zdroj: 2013 International Conference on Machine Learning and Cybernetics. :1017-1021

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Přístupová URL adresa: https://ieeexplore.ieee.org/document/6890745/
https://dblp.uni-trier.de/db/conf/icmlc/icmlc2013.html#TangZGZ13

A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

Autoři: Yi-Ping Phoebe Chen Michael E. Goddard Ben J. Hayes a další

Zdroj: BMC Genomics

Témata: 2. Zero hunger, Biological sciences, Biomedical and clinical sciences, 1311 Genetics, FOS: Biological sciences, 1305 Biotechnology, Genetics, Biotechnology, Research Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/27654580
https://link.springer.com/content/pdf/10.1186%2Fs12864-016-3082-7.pdf
https://link.springer.com/article/10.1186/s12864-016-3082-7
https://core.ac.uk/display/81090568
https://minerva-access.unimelb.edu.au/handle/11343/256666
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031345/
https://doi.org/10.1186%2Fs12864-016-3082-7

A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

Autoři: Wang, T Chen, YPP Bowman, PJ a další

Témata: Journal Article

URL: http://hdl.handle.net/11343/256666

A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

Autoři: T Wang Yi-Ping Phoebe Chen Philip Bowman a další

Témata: Biological sciences, Genetics, Biomedical and clinical sciences, Science & Technology, Life Sciences & Biomedicine, Biotechnology & Applied Microbiology, Genetics & Heredity, DAIRY-CATTLE BREEDS, LINEAR MIXED MODELS, COMPLEX TRAITS, MILK-YIELD, ASSOCIATION, INFORMATION, IMPUTATION, REGRESSION, FERTILITY, SELECTION, Bioinformatics

Relation: https://figshare.com/articles/journal_contribution/A_hybrid_expectation_maximisation_and_MCMC_sampling_algorithm_to_implement_Bayesian_mixture_model_based_genomic_prediction_and_QTL_mapping/19719538

Dostupnost: https://doi.org/10.26181/19719538.v1
https://figshare.com/articles/journal_contribution/A_hybrid_expectation_maximisation_and_MCMC_sampling_algorithm_to_implement_Bayesian_mixture_model_based_genomic_prediction_and_QTL_mapping/19719538

A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

Autoři: Wang, Tingting Chen, Yi-Ping Bowman, Phil a další

Relation: http://www.biomedcentral.com/1471-2164/17/744

Dostupnost: http://www.biomedcentral.com/1471-2164/17/744

Additional file 1: of A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

Autoři: Tingting Wang Chen, Yi-Ping Bowman, Phil a další

Additional file 2: of A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

Autoři: Tingting Wang Chen, Yi-Ping Bowman, Phil a další

Nonparametric function estimation subject to monotonicity, convexity and other shape constraints

Autoři: Paul Damien Stephen G. Walker Thomas S. Shively

Zdroj: Journal of Econometrics. 161:166-181

Témata: log-concave likelihood functions, 0502 economics and business, 05 social sciences, small sample properties, fixed-knot splines, 0101 mathematics, Applications of statistics to economics, free-knot splines, 01 natural sciences, MCMC sampling algorithm

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/6610687
https://doi.org/10.1016/j.jeconom.2010.12.001
https://ideas.repec.org/a/eee/econom/v161y2011i2p166-181.html
https://www.sciencedirect.com/science/article/pii/S0304407610002435
https://econpapers.repec.org/article/eeeeconom/v_3a161_3ay_3a2011_3ai_3a2_3ap_3a166-181.htm

A Bayesian Method for Simultaneous Identification of Structural Mass and Stiffness Using Static–Dynamic Measurements.

Autoři: Li, Zhiyong Wu, Zhifeng Chen, Hui

Zdroj: Buildings (2075-5309); Apr2025, Vol. 15 Issue 8, p1259, 21p

Témata: MARKOV chain Monte Carlo, PROBABILITY density function, FINITE element method, DISPLACEMENT (Mechanics), CONCRETE beams, KRIGING

Bayesian mixed-effect higher-order hidden Markov models with applications to predictive healthcare using electronic health records.

Autoři: Liao, Ying Xiang, Yisha Zhao, Zhigen a další

Zdroj: IISE Transactions; Feb2025, Vol. 57 Issue 2, p186-198, 13p

Témata: HIDDEN Markov models, MARKOV chain Monte Carlo, INTENSIVE care patients, ELECTRONIC health records, MARKOV processes

Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis.

Autoři: Sun, Thomas Y. Kowal, Daniel R.

Zdroj: Journal of Computational & Graphical Statistics; Jan-Mar2025, Vol. 34 Issue 1, p34-46, 13p

Témata: GIBBS sampling, BAYES' estimation, FIX-point estimation, REGRESSION analysis, MARKOV chain Monte Carlo

Bayesian Modeling on Microbiome Data Analysis: Application to Subgingival Microbiome Study.

Autoři: Gwon, Yeongjin Yu, Fang Payne, Jeffrey B. a další

Zdroj: Statistics in Biosciences; Dec2024, Vol. 16 Issue 3, p556-577, 22p

Bayesian Inference of Rock Rheological Constitutive Model with NUTS-MCMC: A Case Study on Baihetan's Slope Engineering.

Autoři: Shi, Anchi Lyu, Changhao Fan, Xuewen a další

Zdroj: International Journal of Geomechanics; Nov2024, Vol. 24 Issue 11, p1-15, 15p

Témata: MARKOV chain Monte Carlo, ROCK slopes, SLOPES (Soil mechanics), BAYESIAN field theory, WATER power

Modeling the effects of a Shock-and-Kill Treatment for HIV: Latency-Reversing Agents and Natural Killer Cells.

Autoři: Liu, Guyue Liu, Suli Zhang, Chiyu a další

Zdroj: Bulletin of Mathematical Biology. Sep2025, Vol. 87 Issue 9, p1-28. 28p.

Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility.

Autoři: Mohamad, Azhar Inani, Sarveshwar Kumar

Zdroj: Applied Economics Letters; 2023, Vol. 30 Issue 19, p2749-2757, 9p, 4 Charts, 4 Graphs

Témata: COVID-19 pandemic, FINANCIAL futures, PRICES, AUTOREGRESSIVE models, MARKOV chain Monte Carlo, FUTURES

Practical sampling of constraint-based models: Optimized thinning boosts CHRR performance.

Autoři: Jadebeck, Johann F. Wiechert, Wolfgang Nöh, Katharina

Zdroj: PLoS Computational Biology; 8/11/2023, Vol. 19 Issue 8, p1-18, 18p, 5 Graphs

Témata: MARKOV chain Monte Carlo, POLYTOPES, SYSTEMS biology, METABOLIC models

Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes

Autoři: Han, Insu Gartrell, Mike Dohmatob, Elvis a další

Témata: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2207.00486

Direct Estimation of Diagnostic Classification Model Attribute Mastery Profiles via a Collapsed Gibbs Sampling Algorithm.

Autoři: Yamaguchi, Kazuhiro Templin, Jonathan

Zdroj: Psychometrika; Dec2022, Vol. 87 Issue 4, p1390-1421, 32p

Témata: GIBBS sampling, MARKOV chain Monte Carlo

Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging.

Autoři: Lei, Mengying Labbe, Aurelie Wu, Yuankai a další

Zdroj: IEEE Transactions on Intelligent Transportation Systems; Oct2022, Vol. 23 Issue 10, p18962-18974, 13p