Search Results - "Kohn R"

Recurrent conditional heteroskedasticity

Authors: Nguyen, T. -N. Tran, M. -N. Kohn, R.

Source: Journal of Applied Econometrics. 37:1031-1054

Subject Terms: FOS: Economics and business, FOS: Computer and information sciences, Statistics - Machine Learning, 0502 economics and business, 05 social sciences, Econometrics (econ.EM), Applications (stat.AP), Machine Learning (stat.ML), 0101 mathematics, Statistics - Applications, 01 natural sciences, Economics - Econometrics

Access URL: http://arxiv.org/abs/2010.13061

A Statistical Recurrent Stochastic Volatility Model for Stock Markets

Authors: Nguyen, Trong-Nghia Tran, Minh-Ngoc Gunawan, David et al.

Source: Journal of Business & Economic Statistics. 41:414-428

Subject Terms: Methodology (stat.ME), FOS: Economics and business, FOS: Computer and information sciences, Statistics - Machine Learning, 0502 economics and business, 05 social sciences, Econometrics (econ.EM), Machine Learning (stat.ML), 0101 mathematics, 01 natural sciences, Statistics - Methodology, Economics - Econometrics

Access URL: http://arxiv.org/pdf/1906.02884
http://arxiv.org/abs/1906.02884

Robustly estimating the marginal likelihood for cognitive models via importance sampling

Authors: Tran, M-N. Scharth, M. Gunawan, D. et al.

Contributors: Tran, M-N. Scharth, M. Gunawan, D. et al.

Source: Behavior Research Methods. 53:1148-1165

Subject Terms: FOS: Computer and information sciences, model selection, Likelihood Functions, Bayesian inference, 05 social sciences, Bayes Theorem, Statistics - Computation, Statistics - Applications, Markov Chains, hierarchical LBA model, 03 medical and health sciences, 0302 clinical medicine, Cognition, standard error, Humans, 0501 psychology and cognitive sciences, Applications (stat.AP), parallel computation, unbiased likelihood estimate, Monte Carlo Method, Computation (stat.CO)

Access URL: https://link.springer.com/content/pdf/10.3758/s13428-020-01348-w.pdf
https://pubmed.ncbi.nlm.nih.gov/33001382
http://arxiv.org/abs/1906.06020
https://osf.io/xv59c/
https://pubmed.ncbi.nlm.nih.gov/33001382/
https://link.springer.com/article/10.3758/s13428-020-01348-w
https://europepmc.org/article/MED/33001382
https://www.ncbi.nlm.nih.gov/pubmed/33001382
http://ui.adsabs.harvard.edu/abs/2019arXiv190606020T/abstract

Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator

Authors: DOUCET, A. PITT, M. K. DELIGIANNIDIS, G. et al.

Source: Biometrika, 2015 Jun 01. 102(2), 295-313.

Access URL: http://www.jstor.org/stable/43908536

Composition and Biochemical Methane Potential from Different Typha Components

Authors: Sale, N. A. Kohn, R. A. Sale, A. et al.

Source: Arid Zone Journal of Engineering, Technology and Environment, Vol 18, Iss 4, Pp 611-622 (2022)
ARID ZONE JOURNAL OF ENGINEERING, TECHNOLOGY AND ENVIRONMENT; Vol. 18 No. 4 (2022); 611-622

Subject Terms: 2. Zero hunger, 13. Climate action, 15. Life on land, TA1-2040, Engineering (General). Civil engineering (General), 7. Clean energy, 6. Clean water

File Description: application/pdf

Access URL: https://doaj.org/article/411e90a4cbf740098e6a741cddeb2861
https://www.azojete.com.ng/index.php/azojete/article/view/674

Effects of acetate, propionate, and pH on volatile fatty acid thermodynamics in continuous cultures of ruminal contents ; Journal of Dairy Science

Authors: Li, Meng M. Ghimire, S. Wenner, B. A. et al.

Subject Terms: isotope dilution, low pH, methane, volatile fatty acid, Rumen, Animals, Gases, Acetates, Sodium Acetate, Butyric Acid, Propionates, Starch, Fatty Acids, Volatile, RNA, Ribosomal, 16S, Detergents, Diet, Fermentation, Digestion, Hydrogen-Ion Concentration, Thermodynamics, Animal Feed

File Description: Pages 8879-8897; application/pdf

Relation: https://www.ncbi.nlm.nih.gov/pubmed/36085109; http://hdl.handle.net/10919/113031; 105; 11

Availability: http://hdl.handle.net/10919/113031
https://doi.org/10.3168/jds.2022-22084

NUMERICAL ANALYSIS OF A STEEPEST-DESCENT PDE MODEL FOR SURFACE RELAXATION BELOW THE ROUGHENING TEMPERATURE

Authors: KOHN, R. V. VERSIEUX, H. M.

Source: SIAM Journal on Numerical Analysis, 2010 Jan 01. 48(5), 1781-1800.

Access URL: https://www.jstor.org/stable/41149025

Particle Methods for Stochastic Differential Equation Mixed Effects Models

Authors: Botha, I Kohn, R Drovandi, C

Source: urn:ISSN:1936-0975 ; urn:ISSN:1931-6690 ; Bayesian Analysis, 16, 2, 575-609

Subject Terms: 49 Mathematical Sciences, 4905 Statistics, anzsrc-for: 49 Mathematical Sciences, anzsrc-for: 4905 Statistics, anzsrc-for: 0104 Statistics

Relation: http://purl.org/au-research/grants/arc/CE140100049; http://hdl.handle.net/1959.4/unsworks_74404

Availability: http://hdl.handle.net/1959.4/unsworks_74404
https://doi.org/10.1214/20-BA1216

Some Examples of Nonlinear Homogenization Involving Nearly Degenerate Energies

Authors: Bhattacharya, K. Kohn, R. V. Kozlov, S.

Source: Proceedings: Mathematical, Physical and Engineering Sciences, 1999 Feb 01. 455(1982), 567-583.

Access URL: https://www.jstor.org/stable/53392

Simple Transformation Techniques for Improved Non-Parametric Regression

Authors: Park, B. U. Kim, W. C. Ruppert, D. et al.

Source: Scandinavian Journal of Statistics, 1997 Jun 01. 24(2), 145-163.

Access URL: https://www.jstor.org/stable/4616445

Semiparametric Bayesian Inference for Time Series with Mixed Spectra

Authors: Carter, C. K. Kohn, R.

Source: Journal of the Royal Statistical Society. Series B (Methodological), 1997 Jan 01. 59(1), 255-268.

Access URL: https://www.jstor.org/stable/2345928

New estimation approaches for the hierarchical Linear Ballistic Accumulator model

Authors: Gunawan, D. Hawkins, G. E. Tran, M.-N. et al.

Contributors: Gunawan, D. Hawkins, G. E. Tran, M.-N. et al.

Subject Terms: adaptive estimation, density tempered, hierarchical model, marginal likelihood, sequential Monte-Carlo, particle metropolis within Gibbs

Relation: ARC.DE170100177; Journal of Mathematical Psychology Vol. 96, Issue June 2020, no. 102368; http://hdl.handle.net/1959.13/1439711; uon:41007

Availability: http://hdl.handle.net/1959.13/1439711

Inclusion Body Myositis: A View from the Caenorhabditis elegans Muscle ; Mol. Neurobiol.

Authors: Rebolledo, D. Minniti, A. Grez, P. et al.

Relation: https://doi.org/10.1007/s12035-008-8041-0; WOS:000259997700006; https://hdl.handle.net/10533/237915

Availability: https://hdl.handle.net/10533/237915

qSOFA as a predictor of ICU outcomes in a resource-limited setting in KwaZulu-Natal Province, South Africa

Authors: Savarimuthu, S M Cairns, C Allorto, N L et al.

Source: Southern African Journal of Critical Care ; volume 36, issue 2, page 92 ; ISSN 2078-676X 1562-8264

Availability: https://doi.org/10.7196/sajcc.2020.v36i2.433
http://www.sajcc.org.za/index.php/sajcc/article/download/417/390

Spectral Subsampling MCMC for Stationary Multivariate Time Series with Applications to Vector ARTFIMA Processes

Authors: Villani, M Quiroz, M Kohn, R et al.

Index Terms: Journal Article

URL: http://hdl.handle.net/10453/184586
Econometrics and Statistics
10.1016/j.ecosta.2022.10.001

Markov Chain Monte Carlo in Conditionally Gaussian State Space Models

Authors: Carter, C. K. Kohn, R.

Source: Biometrika, 1996 Sep 01. 83(3), 589-601.

Access URL: https://www.jstor.org/stable/2337511

Bayesian Deep Net GLM and GLMM

Authors: Tran, M.-N. Nguyen, N. Nott, D. et al.

Source: Journal of Computational and Graphical Statistics ; volume 29, issue 1, page 97-113 ; ISSN 1061-8600 1537-2715

Availability: https://doi.org/10.1080/10618600.2019.1637747
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2019.1637747

A flexible particle Markov chain Monte Carlo method

Authors: Mendes, EF Carter, CK Gunawan, D et al.

Source: urn:ISSN:0960-3174 ; urn:ISSN:1573-1375

Subject Terms: 49 Mathematical Sciences, 4905 Statistics, anzsrc-for: 49 Mathematical Sciences, anzsrc-for: 4905 Statistics, anzsrc-for: 0104 Statistics, anzsrc-for: 0802 Computation Theory and Mathematics, anzsrc-for: 4901 Applied mathematics, anzsrc-for: 4903 Numerical and computational mathematics

File Description: application/pdf

Relation: http://purl.org/au-research/grants/arc/DP120104014; https://hdl.handle.net/1959.4/unsworks_64518

Availability: https://hdl.handle.net/1959.4/unsworks_64518
https://unsworks.unsw.edu.au/bitstreams/9becfa89-b885-4db9-b6ca-5b1a7959cd83/download
https://doi.org/10.1007/s11222-019-09916-7

Test of conditions that affect in vitro production of volatile fatty acids and gases1

Authors: Judd, L M Kohn, R A

Source: Journal of Animal Science ; volume 96, issue 2, page 694-704 ; ISSN 0021-8812 1525-3163

Availability: https://doi.org/10.1093/jas/skx082
http://academic.oup.com/jas/article-pdf/96/2/694/25742084/skx082.pdf

Regression Density Estimation With Variational Methods and Stochastic Approximation

Authors: Nott, D.J. Tan, S.L. Villan, M. et al.

Contributors: Nott, D.J. Tan, S.L. Villan, M. et al.

Source: Journal of Computational and Graphical Statistics. 21:797-820

Subject Terms: Stochastic approximation, mixtures of experts, Heteroscedasticity, 01 natural sciences, heteroscedasticity, Mixtures of experts, stochastic approximation, variational approximation, Variational bayes, Sannolikhetsteori och statistik, Bayesian model selection, 0101 mathematics, Probability Theory and Statistics

File Description: application/pdf

Access URL: http://liu.diva-portal.org/smash/get/diva2:543809/FULLTEXT01
http://www.diva-portal.org/smash/record.jsf?pid=diva2:543809
https://blog.nus.edu.sg/lindatan/files/2014/01/Poster-MHR-2fa1g1j.pdf
https://core.ac.uk/display/41215332
https://amstat.tandfonline.com/doi/full/10.1080/10618600.2012.679897
https://amstat.tandfonline.com/doi/citedby/10.1080/10618600.2012.679897
https://www.tandfonline.com/doi/abs/10.1080/10618600.2012.679897
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79583