Results 81 to 90 of about 2,194,170 (284)

Bayesian synthetic likelihood [PDF]

, 2017
Having the ability to work with complex models can be highly beneficial. However, complex models often have intractable likelihoods, so methods that involve evaluation of the likelihood function are infeasible.
D. J. Nott, L. F. Price, Christopher Drovandi, Nott, David J., Lee, Anthony, Price, L. F., C. C. Drovandi, Leah Price, Nott, D. J., David Nott, Drovandi, C. C., Price, Leah F., Drovandi, Christopher C., Anthony Lee, A. Lee   +14 more
core   +2 more sources

STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control Programmes

Frontiers in Veterinary Science, 2019
The existence, stage of eradication and design of control programmes (CPs) for diseases that are not regulated by the EU differ between Member States. When freedom from infection is reached or being pursued, safe trade is essential to protect or reach ...
Annika M. van Roon, Inge M. G. A. Santman-Berends, Inge M. G. A. Santman-Berends, David Graham, Simon J. More, Mirjam Nielen, Aurélien Madouasse, Mathilde Mercat, Christine Fourichon, Jörn Gethmann, Jenny Frössling, Ann Lindberg, Carla Correia-Gomes, George J. Gunn, Carola Sauter-Louis, Madeleine K. Henry, Linda van Duijn, Gerdien van Schaik, Gerdien van Schaik   +18 more
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Introduction to Bayesian statistics

, 2019
In this workshop, I will provide an introduction to the Bayesian paradigm for data analysis, focusing on both parameter estimation and hypothesis testing.
Ellis, Andrew
core  

Approximate Bayesian inference for doubly robust estimation [PDF]

, 2015
Doubly robust estimators are typically constructed by combining outcome regression and propensity score models to satisfy moment restrictions that ensure consistent estimation of causal quantities provided at least one of the component models is ...
McCoy, EJ, Graham, DJ, Stephens, DA
core   +1 more source

Bayesian Nonparametric Weighted Sampling Inference

, 2021
It has historically been a challenge to perform Bayesian inference in a design-based survey context. The present paper develops a Bayesian model for sampling inference in the presence of inverse-probability weights.
Gelman, Andrew, Si, Yajuan, Pillai, Natesh   +2 more
core   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Introduction to Bayesian Statistics [PDF]

, 2020
In this brief introductory chapter, we sought to inform readers new to Bayesian statistics about the fundamental concepts in Bayesian analyses. The most important take-home messages to remember are that in Bayesian statistics, the analysis starts with an
Miočević, M., Levy, R., van de Schoot, R.   +2 more
core  

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

Advanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli, Dhanush Patil, Libin Yang, M. Taylor Sobczak, Anshul Kulkarni, Xiao Sun, Arunachalam Ramanathan, Tiantian Li, Ramaraja P. Ramasamy, Jason J. Locklin, Yanyu Chen, Xianqiao Wang, Arunachala Mada Kannan, Kenan Song   +13 more
wiley   +1 more source

Honorary Lecture on S. James Press and Bayesian Analysis [PDF]

S. James Press's many contributions to statistical research, lecturing, mentoring students, the statistics profession, etc. are summarized. Then some new developments in Bayesian analysis are described and remarks on the future of Bayesian analysis are ...
Arnold Zellner
core