Results 171 to 180 of about 132,359 (288)

A tutorial on Bayesian model averaging for exponential random graph models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source

Modeling insurance claims using Bayesian nonparametric regression. [PDF]

PLoS One
Shams M, Ghosh K.
europepmc   +1 more source

A Bayes factor framework for unified parameter estimation and hypothesis testing

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source

A Review of Source-Term Estimation for Continuous Methane Monitoring: From Data Acquisition to Modeling and Estimation. [PDF]

ACS Omega
Xie Z, Tang J, Li R, Tian G, Ma R.
europepmc   +1 more source

Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim, Hans Friedrich Köhn, Chia‐Yi Chiu   +2 more
wiley   +1 more source

Genome-wide fine-mapping improves identification of causal variants. [PDF]

Nat Genet
Wu Y, Zheng Z, Thibaut L, Lin T, Feng Q, Cheng H, Yengo L, Goddard ME, Wray NR, Visscher PM, Zeng J.   +10 more
europepmc   +1 more source

Idiographic interrater reliability measures for intensive longitudinal multirater data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Interrater reliability plays a crucial role in various areas of psychology. In this article, we propose a multilevel latent time series model for intensive longitudinal data with structurally different raters (e.g., self‐reports and partner reports).
Tobias Koch, Miriam F. Jaehne, Michaela Riediger, Antje Rauers, Jana Holtmann   +4 more
wiley   +1 more source

A physics-informed neural network approach for estimating population-level pharmacokinetic parameters from aggregated concentration data. [PDF]

J Pharmacokinet Pharmacodyn
Tsiros P, Minadakis V, Sarimveis H.
europepmc   +1 more source

Power priors for latent variable mediation models under small sample sizes

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen, Milica Miočević, Carl F. Falk   +2 more
wiley   +1 more source

Bayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models. [PDF]

IEEE Trans Med Imaging
Djebra Y, Liu X, Marin T, Tiss A, Dhaynaut M, Guehl N, Johnson K, El Fakhri G, Ma C, Ouyang J.   +9 more
europepmc   +1 more source