Results 251 to 260 of about 54,345 (310)

Bayesian estimation of the inverse Exponential Power distribution for COVID-19 case fatality analysis under SDG 3. [PDF]

Sci Rep
Akdam N, Alamri OA, Dutta S, Çiftci F, İyit N.   +4 more
europepmc   +1 more source

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
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

Calibrating Bayesian inference

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu, Jonathan P. Williams, Jan Hannig   +2 more
wiley   +1 more source

Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking. [PDF]

Bayesian Anal
Pan S, Zhang L, Bradley JR, Banerjee S.
europepmc   +1 more source

Review of cognitive diagnostic models (CDMs): Recent methodological advancements for addressing practical challenges

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley   +1 more source

Biological causes and impacts of rugged tree landscapes in phylodynamic inference. [PDF]

Proc Natl Acad Sci U S A
Gao J, Brusselmans M, Carvalho LM, Suchard MA, Baele G, Matsen FA.   +5 more
europepmc   +1 more source

Information bounds and MCMC parameters estimation for the pile-up model with application to fluorescence measurements

, 2008
Tabea Rebafka, François Roueff, Antoine Souloumiac   +2 more
openalex   +1 more source

Towards an ‘absolute’ timing of biostratigraphic and environmental phases from the Saalian late glacial to the Weichselian pleniglacial in central Europe—Insights from a lacustrine succession in Lichtenberg, northern Germany

Boreas, EarlyView.
Palynological records are central to the biostratigraphic subdivision of the Late Pleistocene in central Europe. Yet many interglacial and interstadial phases—such as the Eemian, Brörup and Odderade—remain only poorly constrained in time due to limited numerical dating.
Michael Hein, Thomas Kasper, Alexis Badai Samudra, Martin Theuerkauf, Markus Lothar Fischer, Neda Rahimzadeh, Maria Sekar Proborukmi, Sonja Rigterink, Agnieszka Gruszczyńska, Christian Zeeden, Simon Parfitt, David John Horne, Lucy Roberts, Dustin White, Lisa Brogmus, Hans von Suchodoletz, Tobias Lauer, Marcel Weiss, David Colin Tanner, Brigitte Urban   +19 more
wiley   +1 more source