Bayesian Data Analysis

Cited by (1,150)

Items 1,001–1,100 of 1,150

1. Identifying differentially expressed transcripts from RNA-seq data with biological variation
   Peter Glaus, Antti Honkela, Magnus Rattray · 2012 · Bioinformatics
2. Good modeling practice for PAT applications: Propagation of input uncertainty and sensitivity analysis
   Gürkan Sin, Krist V. Gernaey, Anna Eliasson Lantz · 2009 · Biotechnology Progress
3. Using geographic information systems and decision support systems for the prediction, prevention, and control of vector-borne diseases
   Eisen, Lars, Eisen, Rebecca J. · 2011 · Annual Review of Entomology
4. Bayesian multi-model projection of climate: bias assumptions and interannual variability
   Buser, Christoph M., Künsch, H. R., Lüthi, D., Wild, M., Schär, C. · 2009 · Climate Dynamics
5. Bayesian ranking of biochemical system models
   Vyshemirsky, Vladislav, Girolami, Mark A. · 2008 · Bioinformatics
6. Accounting for Experimental Noise Reveals That mRNA Levels, Amplified by Post-Transcriptional Processes, Largely Determine Steady-State Protein Levels in Yeast
   Csárdi, Gábor, Franks, Alexander, Choi, David S., Airoldi, Edoardo M., Drummond, D. Allan · 2015 · PLOS Genetics
7. Test of the Gravitational Redshift with<i>Galileo</i>Satellites in an Eccentric Orbit
   Herrmann, Sven, Finke, Felix, Lülf, Martin, Kichakova, Olga, Puetzfeld, Dirk, Knickmann, Daniela, List, Meike, Rievers, Benny, Giorgi, Gabriele, Günther, Christoph et al. · 2018 · Physical Review Letters
8. Behavioural interventions for smoking cessation: a meta-analysis of randomized controlled trials
   Mottillo, Salvatore, Filion, Kristian B., Bélisle, Patrick, Joseph, Lawrence, Gervais, André, O'Loughlin, Jennifer, Paradis, Gilles, Pihl, Robert, Pilote, Louise, Rinfret, Stephane et al. · 2009 · European Heart Journal
9. Context Dependence, Ancestral Misidentification, and Spurious Signatures of Natural Selection
   Hernandez, R. D., Williamson, S. H., Bustamante, C. D. · 2007 · Molecular Biology and Evolution
10. Political Ideologies and Political Parties in America
    Noel, Hans · 2014
11. Reputation Transferability in Online Labor Markets
    Kokkodis, Marios, Ipeirotis, Panagiotis G. · 2016 · Management Science
12. Behavioral modeling of human choices reveals dissociable effects of physical effort and temporal delay on reward devaluation
    Klein-Flügge, Miriam C., Kennerley, Steven W., Saraiva, Ana C., Penny, Will D., Bestmann, Sven · 2015 · PLoS Computational Biology
13. TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry
    Frässle, Stefan, Aponte, Eduardo A., Bollmann, Saskia, Brodersen, Kay H., Do, Cao T., Harrison, Olivia K., Harrison, Samuel J., Heinzle, Jakob, Iglesias, Sandra, Kasper, Lars et al. · 2021 · Frontiers in Psychiatry
14. Exploring a latent cause theory of classical conditioning
    Gershman, Samuel J., Niv, Yael · 2012 · Learning &amp; Behavior
15. Modelling monotonic effects of ordinal predictors in Bayesian regression models
    Bürkner, Paul‐Christian, Charpentier, Emmanuel · 2020 · British Journal of Mathematical and Statistical Psychology
16. Statistically significant meta-analyses of clinical trials have modest credibility and inflated effects
    Pereira, Tiago V., Ioannidis, John P.A. · 2011 · Journal of Clinical Epidemiology
17. Assessing the integrated effects of landscape fragmentation on plants and plant communities: The challenge of multiprocess–multiresponse dynamics
    Ibáñez, Inés, Katz, Daniel S. W., Peltier, Drew, Wolf, Samantha M., Connor Barrie, Benjamin T. · 2014 · Journal of Ecology
18. Brain networks for confidence weighting and hierarchical inference during probabilistic learning
    Meyniel, Florent, Dehaene, Stanislas · 2017 · Proceedings of the National Academy of Sciences
19. Improved combination of multiple atmospheric GCM ensembles for seasonal prediction.
    Robertson, Andrew W., Lall, Upmanu, Zebiak, Stephen E., Goddard, Lisa · 2004 · Monthly Weather Review
20. Behavioural and neural evidence for self-reinforcing expectancy effects on pain
    Jepma, Marieke, Koban, Leonie, van Doorn, Johnny, Jones, Matt, Wager, Tor D. · 2018 · Nature Human Behaviour
21. The problem of infra-marginality in outcome tests for discrimination
    Simoiu, Camelia, Corbett-Davies, Sam, Goel, Sharad · 2017 · The Annals of Applied Statistics
22. Developmental changes in cerebral grey and white matter volume from infancy to adulthood
    Groeschel, S., Vollmer, B., King, M.D., Connelly, A. · 2010 · International Journal of Developmental Neuroscience
23. Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations
    Dinov, Ivo D., Heavner, Ben, Tang, Ming, Glusman, Gustavo, Chard, Kyle, Darcy, Mike, Madduri, Ravi, Pa, Judy, Spino, Cathie, Kesselman, Carl et al. · 2016 · PLOS ONE
24. Survey and analysis of hallucinations in large language models: attribution to prompting strategies or model behavior
    Anh-Hoang, Dang, Tran, Vu, Nguyen, Le-Minh · 2025 · Frontiers in Artificial Intelligence
25. Autism spectrum disorder, flea and tick medication, and adjustments for exposure misclassification: the CHARGE (CHildhood Autism Risks from Genetics and Environment) case-control study
    Keil, Alexander P, Daniels, Julie L, Hertz-Picciotto, Irva · 2014 · Environmental Health
26. The use of Bayesian priors in Ecology: The good, the bad and the not great
    Banner, Katharine M., Irvine, Kathryn M., Rodhouse, Thomas J. · 2020 · Methods in Ecology and Evolution
27. Functional flower traits and their diversity drive pollinator visitation
    Fornoff, Felix, Klein, Alexandra‐Maria, Hartig, Florian, Benadi, Gita, Venjakob, Christine, Schaefer, H. Martin, Ebeling, Anne · 2017 · Oikos
28. Beyond-classical computation in quantum simulation
    King, Andrew D., Nocera, Alberto, Rams, Marek M., Dziarmaga, Jacek, Wiersema, Roeland, Bernoudy, William, Raymond, Jack, Kaushal, Nitin, Heinsdorf, Niclas, Harris, Richard et al. · 2025 · Science
29. A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: application to soybean
    Archontoulis, Sotirios V., Miguez, Fernando E., Moore, Kenneth J. · 2014 · Environmental Modelling &amp; Software
30. CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
    Mustafa, Mustafa, Bard, Deborah, Bhimji, Wahid, Lukić, Zarija, Al-Rfou, Rami, Kratochvil, Jan M. · 2019 · Computational Astrophysics and Cosmology
31. Model selection in systems and synthetic biology
    Kirk, Paul, Thorne, Thomas, Stumpf, Michael PH · 2013 · Current Opinion in Biotechnology
32. Bayesian Meta-Analysis with Weakly Informative Prior Distributions
    Williams, Donald Ray, Rast, Philippe, Bürkner, Paul - Christian · 2018
33. Lion hunting behaviour and vegetation structure in an African savanna
    Loarie, Scott R., Tambling, Craig J., Asner, Gregory P. · 2013 · Animal Behaviour
34. Decision making and learning while taking sequential risks.
    Pleskac, Timothy J. · 2008 · Journal of Experimental Psychology: Learning, Memory, and Cognition
35. Heterogeneous Models Place the Root of the Placental Mammal Phylogeny
    Morgan, Claire C., Foster, Peter G., Webb, Andrew E., Pisani, Davide, McInerney, James O., O’Connell, Mary J. · 2013 · Molecular Biology and Evolution
36. Adjustment for reporting bias in network meta-analysis of antidepressant trials
    Trinquart, Ludovic, Chatellier, Gilles, Ravaud, Philippe · 2012 · BMC Medical Research Methodology
37. Going Beyond Convergence in Bayesian Estimation: Why Precision Matters Too and How to Assess It
    Zitzmann, Steffen, Hecht, Martin · 2019 · Structural Equation Modeling: A Multidisciplinary Journal
38. Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species
    Xu, Tian-Rui, Vyshemirsky, Vladislav, Gormand, Amélie, von Kriegsheim, Alex, Girolami, Mark, Baillie, George S., Ketley, Dominic, Dunlop, Allan J., Milligan, Graeme, Houslay, Miles D. et al. · 2010 · Science Signaling
39. Development and validation of a 6-item working alliance questionnaire for repeated administrations during psychotherapy.
    Falkenström, Fredrik, Hatcher, Robert L., Skjulsvik, Tommy, Larsson, Mattias Holmqvist, Holmqvist, Rolf · 2015 · Psychological Assessment
40. Computational modelling reveals contrasting effects on reinforcement learning and cognitive flexibility in stimulant use disorder and obsessive-compulsive disorder: remediating effects of dopaminergic D2/3 receptor agents
    Kanen, Jonathan W., Ersche, Karen D., Fineberg, Naomi A., Robbins, Trevor W., Cardinal, Rudolf N. · 2019 · Psychopharmacology
41. Forecast assimilation: a unified framework for the combination of multi-model weather and climate predictions
    Stephenson, D. B., Coelho, C. A. S., Doblas-Reyes, F. J., Balmaseda, M. · 2005 · Tellus A: Dynamic Meteorology and Oceanography
42. Making 'Null Effects' Informative: Statistical Techniques and Inferential Frameworks
    Harms, Christopher, Lakens, Daniel · 2018
43. Facebook is linked to body dissatisfaction: comparing users and non-users.
    Stronge, Samantha, Greaves, Lara M., Milojev, Petar, West-Newman, Tim, Barlow, Fiona Kate, Sibley, Chris G. · 2015 · Sex Roles
44. The Impact of Antidepressant Dose and Class on Treatment Response in Pediatric Anxiety Disorders: A Meta-Analysis
    Strawn, Jeffrey R., Mills, Jeffrey A., Sauley, Beau A., Welge, Jeffrey A. · 2018 · Journal of the American Academy of Child &amp; Adolescent Psychiatry
45. Analysis of variance—why it is more important than ever
    Gelman, Andrew · 2005 · The Annals of Statistics
46. Bayesian PTSD-Trajectory Analysis with Informed Priors Based on a Systematic Literature Search and Expert Elicitation
    van de Schoot, Rens, Sijbrandij, Marit, Depaoli, Sarah, Winter, Sonja D., Olff, Miranda, van Loey, Nancy E. · 2018 · Multivariate Behavioral Research
47. ICT as a general-purpose technology: The productivity of ICT in the United States revisited
    Liao, Hailin, Wang, Bin, Li, Baibing, Weyman-Jones, Tom · 2016 · Information Economics and Policy
48. Further insights on the French WISC–IV factor structure through Bayesian structural equation modeling.
    Golay, Philippe, Reverte, Isabelle, Rossier, Jérôme, Favez, Nicolas, Lecerf, Thierry · 2013 · Psychological Assessment
49. Properties of cell death models calibrated and compared using Bayesian approaches
    Eydgahi, Hoda, Chen, William W, Muhlich, Jeremy L, Vitkup, Dennis, Tsitsiklis, John N, Sorger, Peter K · 2013 · Molecular Systems Biology
50. Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion
    Wheeler, David C., Hickson, DeMarc A., Waller, Lance A. · 2010 · Computational Statistics &amp; Data Analysis
51. Late-night salivary cortisol has a better performance than urinary free cortisol in the diagnosis of Cushing’s syndrome
    Elias, Paula C. L., Martinez, Edson Z., Barone, Bruno F. C., Mermejo, Livia M., Castro, Margaret, Moreira, Ayrton C. · 2014 · The Journal of Clinical Endocrinology &amp; Metabolism
52. Are there parallel processes in psychotherapy supervision? An empirical examination.
    Tracey, Terence J. G., Bludworth, Jamie, Glidden-Tracey, Cynthia E. · 2012 · Psychotherapy
53. Explaining compound generalization in associative and causal learning through rational principles of dimensional generalization
    Soto, Fabian A., Gershman, Samuel J., Niv, Yael · 2014 · Psychological Review
54. Comparative effectiveness and safety of interventions for acute diarrhea and gastroenteritis in children: a systematic review and network meta-analysis
    Florez, Ivan D., Veroniki, Areti-Angeliki, Al Khalifah, Reem, Yepes-Nuñez, Juan J., Sierra, Javier M., Vernooij, Robin W. M., Acosta-Reyes, Jorge, Granados, Claudia M., Pérez-Gaxiola, Giordano, Cuello-Garcia, Carlos et al. · 2018 · PLOS ONE
55. Molecular phylogeny of the benthic shallow-water octopuses (Cephalopoda: Octopodinae)
    Guzik, Michelle T., Norman, Mark D., Crozier, Ross H. · 2005 · Molecular Phylogenetics and Evolution
56. Metabolic profiles in children during fasting
    van Veen, Merel R., van Hasselt, Peter M., de Sain-van der Velden, Monique G. M., Verhoeven, Nanda, Hofstede, Floris C., de Koning, Tom J., Visser, Gepke · 2011 · PEDIATRICS
57. Mutation analysis of the CHK2gene in families with hereditary breast cancer
    Allinen, M, Huusko, P, Mäntyniemi, S, Launonen, V, Winqvist, R · 2001 · British Journal of Cancer
58. Drinking Water Disinfection By-Product Exposure and Fetal Growth
    Hoffman, Caroline S., Mendola, Pauline, Savitz, David A., Herring, Amy H., Loomis, Dana, Hartmann, Katherine E., Singer, Philip C., Weinberg, Howard S., Olshan, Andrew F. · 2008 · Epidemiology
59. Dolores: a model that predicts football match outcomes from all over the world
    Constantinou, Anthony C. · 2019 · Machine Learning
60. Bringing metabolic networks to life: integration of kinetic, metabolic, and proteomic data
    Liebermeister, Wolfram, Klipp, Edda · 2006 · Theoretical Biology and Medical Modelling
61. Malignant side effects of null-hypothesis significance testing
    Branch, Marc · 2014 · Theory &amp; Psychology
62. Parameter identification of the STICS crop model, using an accelerated formal MCMC approach
    Dumont, B., Leemans, V., Mansouri, M., Bodson, B., Destain, J.-P., Destain, M.-F. · 2014 · Environmental Modelling &amp; Software
63. Impact of climate change on ambient ozone level and mortality in southeastern United States
    Chang, Howard H., Zhou, Jingwen, Fuentes, Montserrat · 2010 · International Journal of Environmental Research and Public Health
64. Bayesian sparse regression analysis documents the diversity of spinal inhibitory interneurons
    Gabitto, Mariano I., Pakman, Ari, Bikoff, Jay B., Abbott, L.F., Jessell, Thomas M., Paninski, Liam · 2016 · Cell
65. Spatial and Temporal Patterns in Concentrations of Perfluorinated Compounds in Bald Eagle Nestlings in the Upper Midwestern United States
    Route, William T., Russell, Robin E., Lindstrom, Andrew B., Strynar, Mark J., Key, Rebecca L. · 2014 · Environmental Science &amp; Technology
66. Space–time event sparse penalization for magneto-/electroencephalography
    Bolstad, Andrew, Veen, Barry Van, Nowak, Robert · 2009 · NeuroImage
67. A genome scan in multigenerational families with dyslexia: Identification of a novel locus on chromosome 2q that contributes to phonological decoding efficiency
    Raskind, W H, Igo, R P, Chapman, N H, Berninger, V W, Thomson, J B, Matsushita, M, Brkanac, Z, Holzman, T, Brown, M, Wijsman, E M · 2005 · Molecular Psychiatry
68. Bayesian Multilevel Analysis and MCMC
    Draper, David · 2007 · Handbook of Multilevel Analysis
69. Predicting depressive symptom severity through individuals’ nearby Bluetooth device count data collected by mobile phones: preliminary longitudinal study
    Zhang, Yuezhou, Folarin, Amos A, Sun, Shaoxiong, Cummins, Nicholas, Ranjan, Yatharth, Rashid, Zulqarnain, Conde, Pauline, Stewart, Callum, Laiou, Petroula, Matcham, Faith et al. · 2021 · JMIR mHealth and uHealth
70. Psychological well-being and personality traits are associated with experiencing love in everyday life
    Oravecz, Zita, Dirsmith, Jessica, Heshmati, Saeideh, Vandekerckhove, Joachim, Brick, Timothy R. · 2020 · Personality and Individual Differences
71. Disaggregating asthma: big investigation versus big data
    Belgrave, Danielle, Henderson, John, Simpson, Angela, Buchan, Iain, Bishop, Christopher, Custovic, Adnan · 2017 · Journal of Allergy and Clinical Immunology
72. Injection-induced surface deformation and seismicity at the Hellisheidi geothermal field, Iceland
    Juncu, D., Árnadóttir, Th., Geirsson, H., Guðmundsson, G.B., Lund, B., Gunnarsson, G., Hooper, A., Hreinsdóttir, S., Michalczewska, K. · 2020 · Journal of Volcanology and Geothermal Research
73. A Framework for Methodological Choice and Evidence Assessment for Studies Using External Comparators from Real-World Data
    Gray, Christen M., Grimson, Fiona, Layton, Deborah, Pocock, Stuart, Kim, Joseph · 2020 · Drug Safety
74. Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach.
    Busk, Jonas, Faurholt-Jepsen, Maria, Frost, Mads, Bardram, Jakob E, Vedel Kessing, Lars, Winther, Ole · 2020 · JMIR mhealth and uhealth
75. Extend mixed models to multilayer neural networks for genomic prediction including intermediate omics data
    Zhao, Tianjing, Zeng, Jian, Cheng, Hao · 2022 · Genetics
76. BioBayes: A software package for Bayesian inference in systems biology
    Vyshemirsky, Vladislav, Girolami, Mark · 2008 · Bioinformatics
77. Considerate approaches to constructing summary statistics for ABC model selection
    Barnes, Chris P., Filippi, Sarah, Stumpf, Michael P. H., Thorne, Thomas · 2012 · Statistics and Computing
78. Incorporation of stochastic engineering models as prior information in Bayesian medical device trials
    Haddad, Tarek, Himes, Adam, Thompson, Laura, Irony, Telba, Nair, Rajesh, on Behalf of MDIC Computer Modeling and Simulation Working Group Participants · 2017 · Journal of Biopharmaceutical Statistics
79. Bayesian hierarchical distributed lag models for summer ozone exposure and cardio-respiratory mortality
    Huang, Yi, Dominici, Francesca, Bell, Michelle L. · 2005 · Environmetrics
80. Bayesian Characterization of Uncertainty in Intra-subject Non-rigid Registration
    Risholm, Petter, Janoos, Firdaus, Norton, Isaiah, Golby, Alex J., Wells, William M. · 2013 · Medical Image Analysis
81. Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model
    Huque, Md Hamidul, Moreno‐Betancur, Margarita, Quartagno, Matteo, Simpson, Julie A., Carlin, John B., Lee, Katherine J. · 2020 · Biometrical Journal
82. Cognitive Mapping Without Vision: Comparing Wayfinding Performance After Learning From Digital Touchscreen-Based Multimodal Maps vs. Embossed Tactile Overlays
    Giudice, Nicholas A., Guenther, Benjamin A., Jensen, Nicholas A., Haase, Kaitlyn N. · 2020 · Frontiers in Human Neuroscience
83. Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions
    Lan, Andrew S., Vats, Divyanshu, Waters, Andrew E., Baraniuk, Richard G. · 2015 · Proceedings of the Second (2015) ACM Conference on Learning @ Scale
84. External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis
    Rockenschaub, Patrick, Akay, Ela Marie, Carlisle, Benjamin Gregory, Hilbert, Adam, Wendland, Joshua, Meyer-Eschenbach, Falk, Näher, Anatol-Fiete, Frey, Dietmar, Madai, Vince Istvan · 2025 · BMC Medical Informatics and Decision Making
85. Retrieval-based model accounts for striking profile of episodic memory and generalization
    Banino, Andrea, Koster, Raphael, Hassabis, Demis, Kumaran, Dharshan · 2016 · Scientific Reports
86. Estimating selection on synonymous codon usage from noisy experimental data
    Wallace, Edward W.J., Airoldi, Edoardo M., Drummond, D. Allan · 2013 · Molecular Biology and Evolution
87. Bayesian estimation of human population toxicokinetics of PFOA, PFOS, PFHxS, and PFNA from studies of contaminated drinking water
    Chiu, Weihsueh A., Lynch, Meghan T., Lay, Claire R., Antezana, Adriana, Malek, Parker, Sokolinski, Sara, Rogers, Rachel D. · 2022 · Environmental Health Perspectives
88. The effect of landscape position on biomass crop yield
    Thelemann, Ryan, Johnson, Gregg, Sheaffer, Craig, Banerjee, Sudipto, Cai, Haowen, Wyse, Donald · 2010 · Agronomy Journal
89. Understanding the keystroke log: the effect of writing task on keystroke features
    Conijn, Rianne, Roeser, Jens, van Zaanen, Menno · 2019 · Reading and Writing
90. Urban-Rural Disparity in Community Resilience: A Multilevel Analysis of the Relief Progress after the 2015 Nepal Earthquake
    Song, Jinglu, Pandey, Rishikesh, Dong, Guanpeng, Sharifi, Ayyoob, Subedi, Bhim Prasad · 2022 · Sustainable Cities and Society
91. Basic Framework and Main Methods of Uncertainty Quantification
    Zhang, Juan, Yin, Junping, Wang, Ruili · 2020 · Mathematical Problems in Engineering
92. How often does the best team win? A unified approach to understanding randomness in North American sport
    Lopez, Michael J., Matthews, Gregory J., Baumer, Benjamin S. · 2018 · The Annals of Applied Statistics
93. The neglected tool in the Bayesian ecologist's shed: a case study testing informative priors' effect on model accuracy
    Morris, William K., Vesk, Peter A., McCarthy, Michael A., Bunyavejchewin, Sarayudh, Baker, Patrick J. · 2015 · Ecology and Evolution
94. Dose-response modelling of resistance exercise across outcome domains in strength and conditioning: a meta-analysis.
    Swinton, Paul Alan, Schoenfeld, Brad J., Murphy, Andrew · 2024 · Sports Medicine
95. Social isolation is linked to classical risk factors of Alzheimer’s disease-related dementias
    Shafighi, Kimia, Villeneuve, Sylvia, Rosa Neto, Pedro, Badhwar, AmanPreet, Poirier, Judes, Sharma, Vaibhav, Medina, Yasser Iturria, Silveira, Patricia P., Dube, Laurette, Glahn, David et al. · 2023 · PLOS ONE
96. A 3‐level Bayesian mixed effects location scale model with an application to ecological momentary assessment data
    Lin, Xiaolei, Mermelstein, Robin J., Hedeker, Donald · 2018 · Statistics in Medicine
97. Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study
    Wilkinson, Lua, Yi, Nengjun, Mehta, Tapan, Judd, Suzanne, Garvey, W. Timothy · 2020 · PLOS Medicine
98. Two-way imputation: a Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation
    Van Ginkel, Joost R., Andries Van der Ark, L., Sijtsma, Klaas, Vermunt, Jeroen K. · 2007 · Computational Statistics &amp; Data Analysis
99. Extracellular Buffering Supplements to Improve Exercise Capacity and Performance: A Comprehensive Systematic Review and Meta-analysis
    de Oliveira, Luana Farias, Dolan, Eimear, Swinton, Paul A., Durkalec-Michalski, Krzysztof, Artioli, Guilherme G., McNaughton, Lars R., Saunders, Bryan · 2022 · Sports Medicine
100. A Metropolis-Hastings algorithm for dynamic causal models.
     Chumbley, Justin R., Friston, Karl J., Fearn, Tom, Kiebel, Stefan J. · 2007 · NeuroImage