Results 1 to 10 of about 336,112 (168)
Prior choice and data requirements of Bayesian multivariate hierarchical models fit to tag‐recovery data: The need for power analyses [PDF]
Ecology and Evolution, 2023 Recent empirical studies have quantified correlation between survival and recovery by estimating these parameters as correlated random effects with hierarchical Bayesian multivariate models fit to tag‐recovery data.
Cody E. Deane +5 more
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Learning with Hierarchical-Deep Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013 We introduce HD (or “Hierarchical-Deep”) models, a new compositional learning architecture that integrates deep learning models with structured hierarchical Bayesian (HB) models. Specifically, we show how we can learn a hierarchical Dirichlet process (HDP) prior over the activities of the top-level features in a deep Boltzmann machine ...
Ruslan Salakhutdinov +2 more
exaly +5 more sources
Analysis of Treatment-Control Pre-Post-Follow-up Design Data [PDF]
Tutorials in Quantitative Methods for Psychology, 2023 The treatment-control pre-post-follow-up (TCPPF) design is a popular means to demonstrate that a treatment group is superior to a control group over time.
Sharpe, Donald, Cribbie, Robert A.
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Frontiers in Public Health, 2022 BackgroundArea deprivation has been shown to be associated with various adverse health outcomes including communicable as well as non-communicable diseases.
Kirsi Marjaana Manz +6 more
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Optimally designing drone‐based surveys for wildlife abundance estimation with N‐mixture models
Methods in Ecology and Evolution, 2023 Hierarchical N‐mixture models have been suggested for abundance estimation from spatiotemporally replicated drone‐based count surveys, since they allow modeling abundance of unmarked individuals while accounting for detection errors. However, it is still
Ismael V. Brack +3 more
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Free Vibration Analysis of Functionally Graded Sandwich Plates with a Homogeneous Core
Applied Sciences, 2022 The functionally graded (FG) sandwich plate has attained much attention in recent years due to its potential for exhibiting the merits of sandwich construction and FGM.
J.R. Cho
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Are There Reliable Qualitative Individual Difference in Cognition?
Journal of Cognition, 2021 In this paper we propose a new set of questions that focus on the direction of effects. In almost all studies the direction is important. For example, in a Stroop task we expect responses to incongruent items to be slower than those to congruent ones ...
Jeffrey Rouder, Julia M. Haaf
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Frontiers in Robotics and AI, 2020 We consider the problem of autonomous acquisition of manipulation skills where problem-solving strategies are initially available only for a narrow range of situations.
Simon Hangl +3 more
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Hierarchical models as marginals of hierarchical models
International Journal of Approximate Reasoning, 2017 We investigate the representation of hierarchical models in terms of marginals of other hierarchical models with smaller interactions. We focus on binary variables and marginals of pairwise interaction models whose hidden variables are conditionally independent given the visible variables. In this case the problem is equivalent to the representation of
Guido Montúfar, Johannes Rauh
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Journal of the Royal Statistical Society Series B: Statistical Methodology, 1993 SUMMARY An analysis of a time series of cross-sectional data is considered under a Bayesian perspective. Information is modelled in terms of prior distributions and stratified parametric linear models developed by Lindley and Smith and dynamic linear models developed by Harrison and Stevens are merged into a general framework.
Gamerman, Dani, Migon, Hélio S.
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