Bayesian Data Analysis

Cited by (1,150)

Items 401–500 of 1,150

1. Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses
   Marc Kéry · 2010
2. A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models
   Richard J. Patz, Brian W. Junker · 1999 · Journal of Educational and Behavioral Statistics
3. Cross validation for model selection: A review with examples from ecology
   Luke A. Yates, Zach Aandahl, Shane A. Richards, Barry W. Brook · 2022 · Ecological Monographs
4. Modeling compositional heterogeneity
   Foster, Peter G · 2004 · Systematic Biology
5. Quantifying ecological memory in plant and ecosystem processes
   Kiona Ogle, Jarrett J. Barber, Greg A. Barron‐Gafford, Lisa Patrick Bentley, Jessica May Young, Travis E. Huxman, Michael E. Loik, David Thomas Tissue · 2014 · Ecology Letters
6. Fire dynamics simulator (version 5) :
   Kevin B. McGrattan, Bryan W. Klein, Simo Hostikka, Jason Floyd · 2007
7. Statistical Methods for Profiling Providers of Medical Care: Issues and Applications
   Sharon‐Lise T. Normand, Mark E. Glickman, Constantine Gatsonis · 1997 · Journal of the American Statistical Association
8. An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models
   Eric Thrane, Colm Talbot · 2019 · Publications of the Astronomical Society of Australia
9. A rational analysis of rule-based concept learning
   Goodman, Noah D., Tenenbaum, Joshua B., Feldman, Jacob, Griffiths, Thomas L. · 2008 · Cognitive Science
10. Social Network Analysis withsna
    Carter T. Butts · 2008 · Journal of Statistical Software
11. Suggestions for Presenting the Results of Data Analyses
    David R. Anderson, William A. Link, Douglas H. Johnson, Kenneth P. Burnham · 2001 · Journal of Wildlife Management
12. Competing Theories of Financial Anomalies
    Alon P. Brav, J.B. Heaton · 2000 · Review of Financial Studies
13. Privacy: Theory meets Practice on the Map
    Ashwin Machanavajjhala, Daniel Kifer, John Maron Abowd, Johannes E. Gehrke, Lars Vilhuber · 2008 · IEEE International Conference on Data Engineering (ICDE)
14. Trial-by-trial data analysis using computational models
    Nathaniel D. Daw · 2011 · Oxford University Press eBooks
15. Uncertainty in perception and the Hierarchical Gaussian Filter
    Mathys, Christoph D., Lomakina, Ekaterina I., Daunizeau, Jean, Iglesias, Sandra, Brodersen, Kay H., Friston, Karl J., Stephan, Klaas E. · 2014 · Frontiers in Human Neuroscience
16. ABC as a flexible framework to estimate demography over space and time: some cons, many pros
    Giorgio Bertorelle, Andrea Benazzo, Stefano Mona · 2010 · Molecular Ecology
17. Sparsity information and regularization in the horseshoe and other shrinkage priors
    Juho Piironen, Aki Vehtari · 2017 · Electronic Journal of Statistics
18. Democratic Compromise: A Latent Variable Analysis of Ten Measures of Regime Type
    Daniel Pemstein, Stephen A. Meserve, James Melton · 2010 · Political Analysis
19. Transdimensional inversion of receiver functions and surface wave dispersion
    Bodin, T., Sambridge, M., Gallagher, K., Rawlinson, N. · 2012 · Journal of Geophysical Research: Solid Earth
20. The LCES HIRES/Keck Precision Radial Velocity Exoplanet Survey
    R. Paul Butler, Steven S. Vogt, Gregory Laughlin, Jennifer Burt, Eugenio J. Rivera, Mikko Tuomi, Johanna K Teske, Pamela Arriagada, Matías R. Díaz, Bradford P. Holden et al. · 2017 · The Astronomical Journal
21. Small is beautiful: In defense of the small-N design
    Philip Leigh Smith, Daniel R. Little · 2018 · Psychonomic Bulletin & Review
22. Quantifying the Uncertainty in the Orbits of Extrasolar Planets
    Eric B. Ford · 2005 · The Astronomical Journal
23. High-throughput behavioral analysis in C. elegans
    Nicholas A Swierczek, Andrew C. Giles, Catharine H. Rankin, Rex A. Kerr · 2011 · Nature Methods
24. A review of uncertainty analysis in building energy assessment
    Wei Tian, Yeonsook Heo, Pieter de Wilde, Zhanyong Li, Da Yan, Cheol Soo Park, Xiaohang Feng, Godfried Augenbroe · 2018 · Renewable and Sustainable Energy Reviews
25. Maternal obesity and risk of stillbirth: a metaanalysis
    Susan Y. Chu, Shin Y. Kim, Joseph Lau, Christopher H. Schmid, Patricia M. Dietz, William M. Callaghan, Kathryn M. Curtis · 2007 · American Journal of Obstetrics and Gynecology
26. Integrating experiential and distributional data to learn semantic representations.
    Mark W. Andrews, Gabriella Vigliocco, David Vinson · 2009 · Psychological Review
27. Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors
    Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler · 2008 · IEEE Transactions on Pattern Analysis and Machine Intelligence
28. SciClone: Inferring Clonal Architecture and Tracking the Spatial and Temporal Patterns of Tumor Evolution
    Christopher A. Miller, Brian S. White, Nathan D. Dees, Malachi Griffith, John Sutton Welch, Obi L. Griffith, Ravi Vij, Michael H. Tomasson, Timothy Aaron Graubert, Matthew J. Walter et al. · 2014 · PLoS Computational Biology
29. Practical options for selecting data-driven or physics-based prognostics algorithms with reviews
    Dawn An, Nam Ho Kim, Joo-Ho Choi · 2014 · Reliability Engineering & System Safety
30. Bayes and Empirical Bayes Methods for Data Analysis
    Andrew L. Rukhin, Bradley P. Carlin, Thomas A. Louis · 1997 · Technometrics
31. Spatial analysis of fatal and injury crashes in Pennsylvania
    Jonathan Agüero-Valverde, Paul P. Jovanis · 2006 · Accident Analysis & Prevention
32. Breaking Through the Clutter: Benefits of Advertisement Originality and Familiarity for Brand Attention and Memory
    Rik G. M. Pieters, Luk Warlop, Michel Wedel · 2002 · Management Science
33. A Bayesian tutorial for data assimilation
    Christopher K. Wikle, L. Mark Berliner · 2006 · Physica D Nonlinear Phenomena
34. On the Estimation of Confidence Intervals for Binomial Population Proportions in Astronomy: The Simplicity and Superiority of the Bayesian Approach
    Ewan Cameron · 2011 · Publications of the Astronomical Society of Australia
35. Likelihood Inference for Discretely Observed Nonlinear Diffusions
    Ola Elerian, Siddhartha Chib, Neil Shephard · 2001 · Econometrica
36. Computing normalised prediction distribution errors to evaluate nonlinear mixed-effect models: The npde add-on package for R
    Emmanuelle Comets, Karl Brendel, France Mentré · 2008 · Computer Methods and Programs in Biomedicine
37. Non-linear regression models for Approximate Bayesian Computation
    Michaël G. B. Blum, Olivier François · 2009 · Statistics and Computing
38. Improving transparency and replication in Bayesian statistics: The WAMBS-Checklist.
    Depaoli, Sarah, van de Schoot, Rens · 2017 · Psychological Methods
39. Eye Fixations on Advertisements and Memory for Brands: A Model and Findings
    Michel Wedel, Rik G. M. Pieters · 2000 · Marketing Science
40. Validation of questionnaire and bronchial hyperresponsiveness against respiratory physician assessment in the diagnosis of asthma
    JENKINS, MARK A, CLARKE, JANE R, CARLIN, JOHN B, ROBERTSON, COLIN F, HOPPER, JOHN L, DALTON, MARITA F, HOLST, DIANE P, CHOI, KEVIN, GILES, GRAHAM G · 1996 · International Journal of Epidemiology
41. Holocene global mean surface temperature, a multi-method reconstruction approach
    Darrell S. Kaufman, Nicholas P. McKay, Cody Routson, Michael P. Erb, Christoph Dätwyler, Philipp S. Sommer, Oliver Heiri, Basil Davis · 2020 · Scientific Data
42. A guide to eliciting and using expert knowledge in Bayesian ecological models.
    P. Kuhnert, T. Martin, S. Griffiths · 2010 · Ecology Letters
43. Seismic tomography with the reversible jump algorithm
    Thomas Bodin, Malcolm Sambridge · 2009 · Geophysical Journal International
44. Estimating the total incidence of global childhood cancer: a simulation-based analysis
    Zachary J. Ward, Jennifer M. Yeh, Nickhill Hitesh Bhakta, A. Lindsay Frazier, Rifat Ali Atun · 2019 · The Lancet Oncology
45. A Bayesian framework for word segmentation: exploring the effects of context.
    Sharon Goldwater, T. Griffiths, Mark A. Johnson · 2009 · Cognition
46. Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis
    Maniatis, Silas, Äijö, Tarmo, Vickovic, Sanja, Braine, Catherine, Kang, Kristy, Mollbrink, Annelie, Fagegaltier, Delphine, Andrusivová, Žaneta, Saarenpää, Sami, Saiz-Castro, Gonzalo et al. · 2019 · Science
47. To transfer or not to transfer
    Michael T. Rosenstein · 2005
48. The Prior Can Often Only Be Understood in the Context of the Likelihood
    Andrew Gelman, Daniel Simpson, Michael Betancourt · 2017 · Entropy
49. Generalized maximum likelihood estimators for the nonstationary generalized extreme value model
    Salah‐Eddine El Adlouni, Taha B. M. J. Ouarda, Xuebin Zhang, R. Roy, Bernard Bobée · 2007 · Water Resources Research
50. Bayesian Statistics and Marketing
    Greg M. Allenby, Peter E. Rossi · 2002 · SSRN Electronic Journal
51. Tactile Acuity is Enhanced in Blindness
    Daniel Goldreich, Ingrid M. Kanics · 2003 · Journal of Neuroscience
52. Bayesian integration of visual and auditory signals for spatial localization
    Peter Battaglia, Robert A. Jacobs, Richard Ν. Aslin · 2003 · Journal of the Optical Society of America A
53. Evaluation of measurement data — Supplement 1 to the “Guide to the expression of uncertainty in measurement” — Propagation of distributions using a Monte Carlo method
    2008
54. Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling
    Matthew Salganik · 2006 · Journal of Urban Health
55. A 2‐Year Prospective Study of Human Papillomavirus Persistence among Women with a Cytological Diagnosis of Atypical Squamous Cells of Undetermined Significance or Low‐Grade Squamous Intraepithelial Lesion
    Martyn Plummer, MARK H. SCHIFFMAN, Philip E. Castle, Delphine Maucort‐Boulch, Cosette Marie Wheeler, ALTS (Atypical Squamous Cells of Undetermined Significance/Low‐Grade Squamous Intraepithelial Lesions Triage Study) Group · 2007 · The Journal of Infectious Diseases
56. Markov Chain Monte Carlo Methods: Computation and Inference
    Siddhartha Chib · 2001 · Handbook of econometrics
57. Bayesian inference in physics
    U. von Toussaint · 2011 · Reviews of Modern Physics
58. Modelling area-wide count outcomes with spatial correlation and heterogeneity: An analysis of London crash data
    Mohammed Quddus · 2008 · Accident Analysis & Prevention
59. Abandon Statistical Significance
    Blakeley B. McShane, David Gal, Andrew Gelman, Christian P. Robert, Jennifer L. Tackett · 2019 · HAL
60. Context, learning, and extinction
    Gershman, Samuel J., Blei, David M., Niv, Yael · 2010 · Psychological Review
61. An introduction to Bayesian hierarchical models with an application in the theory of signal detection
    Jeffrey N. Rouder, Jun Lu · 2005 · Psychonomic Bulletin & Review
62. Divergence Time Estimation Using Fossils as Terminal Taxa and the Origins of Lissamphibia
    R. Alexander Pyron · 2011 · Systematic Biology
63. Fundamentals of Object Tracking
    Subhash Challa, Mark R. Morelande, Darko Mušicki, Robin J. Evans · 2011 · Cambridge University Press eBooks
64. Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
    Youssef Marzouk, Habib N. Najm · 2008 · Journal of Computational Physics
65. Rainfall regimes of the Green Sahara
    Jessica E. Tierney, Francesco S. R. Pausata, Peter B deMenocal · 2017 · Science Advances
66. Estimating Multiple Classification Latent Class Models
    Eric Maris · 1999 · Psychometrika
67. Learning overhypotheses with hierarchical Bayesian models
    Charles Kemp, Andrew Perfors, Joshua B. Tenenbaum · 2007 · Developmental Science
68. When Competence Is Irrelevant: The Role of Interpersonal Affect in Task-Related Ties
    Tiziana Casciaro, Miguel Sousa Lobo · 2008 · Administrative Science Quarterly
69. TESTING FOR GENETIC EVIDENCE OF POPULATION EXPANSION AND CONTRACTION: AN EMPIRICAL ANALYSIS OF MICROSATELLITE DNA VARIATION USING A HIERARCHICAL BAYESIAN MODEL
    Jay F. Storz, Mark Beaumont · 2002 · Evolution
70. Assessing the impact of climate variation on survival in vertebrate populations
    Vladimir Grosbois, Olivier Giménez, Jean‐Michel Gaillard, Roger Pradel, Christophe Barbraud, Jean Clobert, Anders Pape Møller, Henri Weimerskirch · 2008 · Biological reviews/Biological reviews of the Cambridge Philosophical Society
71. Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax 1
    Jeroen Kornelis Vermunt, Jay Magidson · 2016
72. Bayesian data analysis for newcomers
    John K. Kruschke, Torrin M. Liddell · 2017 · Psychonomic Bulletin & Review
73. The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting
    Enrico Camporeale · 2019 · Space Weather
74. Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP
    Daniel S. Quintana, Donald Ray Williams · 2018 · BMC Psychiatry
75. Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
    Chris Fraley, Adrian E. Raftery · 2007 · Journal of Classification
76. Comprehensive data analysis of femtosecond transient absorption spectra: A review
    Cyril Ruckebusch, Michel Sliwa, Pascal Pernot, A. de Juan, Romá Tauler · 2011 · Journal of Photochemistry and Photobiology C Photochemistry Reviews
77. The Knowledge-Gradient Policy for Correlated Normal Beliefs
    Peter I. Frazier, Warren B. Powell, Savaş Dayanik · 2009 · INFORMS journal on computing
78. Evaluating Pharmacokinetic/Pharmacodynamic Models Using the Posterior Predictive Check
    Yoshitaka Yano, Stuart L. Beal, Lewis B. Sheiner · 2001 · Journal of Pharmacokinetics and Pharmacodynamics
79. How Bayes factors change scientific practice
    Z. Dienes · 2016 · Journal of Mathematical Psychology
80. Coarse Particulate Matter Air Pollution and Hospital Admissions for Cardiovascular and Respiratory Diseases Among Medicare Patients
    Roger D. Peng · 2008 · JAMA
81. Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data
    Heiko H. Schütt, Stefan Harmeling B, Jakob H. Macke, Felix A. Wichmann · 2016 · Vision Research
82. Probabilistic fine-mapping of transcriptome-wide association studies
    Nicholas Mancuso, Malika Kumar Freund, Ruth Johnson, Huwenbo Shi, Gleb Kichaev, Alexander Gusev, Bogdan Paşaniuc · 2019 · Nature Genetics
83. Estimation of Population Growth or Decline in Genetically Monitored Populations
    Mark Beaumont · 2003 · Genetics
84. The Incumbency Advantage in U.S. Elections: An Analysis of State and Federal Offices, 1942–2000
    Stephen D. Ansolabehere, James M. Snyder · 2002 · Election Law Journal Rules Politics and Policy
85. Mutability of Y-Chromosomal Microsatellites: Rates, Characteristics, Molecular Bases, and Forensic Implications
    Kaye N. Ballantyne, Miriam Goedbloed, Rixun Fang, Onno Schaap, Óscar Lao, Andreas Wollstein, Ying Choi, Kate van Duijn, Mark Vermeulen, Silke Brauer et al. · 2010 · The American Journal of Human Genetics
86. Autonomous experimentation systems for materials development: A community perspective
    Eric A. Stach, Brian DeCost, Aaron Gilad Kusne, Jason R. Hattrick-Simpers, Keith A. Brown, Kristofer G. Reyes, Joshua Schrier, Simon J. L. Billinge, Tonio Buonassisi, Ian T Foster et al. · 2021 · Matter
87. Joint Species Distribution Modelling
    Otso Ovaskainen, Nerea Abrego · 2020 · Cambridge University Press eBooks
88. A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
    Murray A. Aitkin · 1999 · Biometrics
89. Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis
    Mark Thyer, Benjamin Renard, Dmitri Kavetski, George Kuczera, Stewart William Franks, Sri Srikanthan · 2009 · Water Resources Research
90. Genetic Variation in Political Participation
    J. Fowler, Laura A. Baker, Christopher T. Dawes · 2008 · American Political Science Review
91. Bayesian Estimation of a Multilevel IRT Model Using Gibbs Sampling
    Jean‐Paul Fox, Cees A. W. Glas · 2001 · Psychometrika
92. Applied Stochastic Differential Equations
    Simo Särkkä, Arno Solin · 2019 · Cambridge University Press eBooks
93. Environmental variability supports chimpanzee behavioural diversity
    Ammie K. Kalan, Lars Kulik, Mimi Arandjelovic, Christophe Boesch, Fabian Haas, Paula Dieguez, Christopher D. Barratt, Ekwoge Enang Abwe, Anthony Agbor, Samuel Angedakin et al. · 2020 · Nature Communications
94. Assessing Mediational Models: Testing and Interval Estimation for Indirect Effects
    Jeremy Charles Biesanz, Carl F. Falk, Victoria Savalei · 2010 · Multivariate Behavioral Research
95. Wavelet-based Functional Mixed Models
    Jeffrey S. Morris, Raymond James Carroll · 2006 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
96. Terrestrial gross primary production: Using NIR V to scale from site to globe
    Grayson Badgley, Leander D. L. Anderegg, Joseph A. Berry, Christopher B. Field · 2019 · Global Change Biology
97. A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods
    Jianming Ma, Kara Maria Kockelman, Paul Damien · 2007 · Accident Analysis & Prevention
98. Bayesian indoor positioning systems
    David Madigan, E. Einahrawy, Richard P. Martin, Wen‐Hua Ju, P. Krishnan, A. S. Krishnakumar · 2005 · IEEE Conference on Computer Communications (INFOCOM)
99. LOGISTIC REGRESSION FOR EMPIRICAL STUDIES OF MULTIVARIATE SELECTION
    Fredric J. Janzen, Hal S. Stern · 1998 · Evolution
100. Association of Measurable Residual Disease With Survival Outcomes in Patients With Acute Myeloid Leukemia
     Nicholas James Short, Shouhao Zhou, Chenqi Fu, Donald A. Berry, Roland B. Walter, Sylvie D. Freeman, Christopher Simon Hourigan, Xuelin Huang, Graciela Nogueras González, Hyunsoo Hwang et al. · 2020 · JAMA Oncology