Results 201 to 210 of about 137,667 (314)

ProteinEvolverABC: coestimation of recombination and substitution rates in protein sequences by approximate Bayesian computation. [PDF]

Bioinformatics, 2021
Arenas M.
europepmc   +1 more source

Recalibration: A post-processing method for approximate Bayesian computation [PDF]

, 2017
G. S. Rodrigues, Dennis Prangle, Scott A. Sisson   +2 more
openalex   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation. [PDF]

Med Biol Eng Comput, 2023
Nieto Ramos A, Fenton FH, Cherry EM.
europepmc   +1 more source

Consumer Valuation of Meat Alternatives and Labeling Policies: A Comparative Perspective

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study investigates and compares US consumer perceptions and the impact of environmental, human health, and animal welfare information related to conventional meat on preferences for meat alternatives and labeling policies. Using the best–worst scaling method across 10 different burger alternatives, our results show that the meat burger is
Daniele Asioli, Wei Yang, Jia Han, Quoc Cuong Nguyen, Massimiliano Petracci, Rodolfo M. Nayga Jr.   +5 more
wiley   +1 more source

Using Approximate Bayesian Computation to Calibrate the Model Parameters Characterizing the Autoregulatory Behavior of Microvessels. [PDF]

Int J Numer Method Biomed Eng
Daher A.
europepmc   +1 more source

Complex genetic admixture histories reconstructed with Approximate Bayesian Computation. [PDF]

Mol Ecol Resour, 2021
Fortes-Lima CA, Laurent R, Thouzeau V, Toupance B, Verdu P.   +4 more
europepmc   +1 more source

PipeMaster: inferring population divergence and demographic history with approximate Bayesian computation and supervised machine-learning in R [PDF]

, 2020
Marcelo Gehara, Guilherme G. Mazzochinni, Frank T. Burbrink   +2 more
openalex   +1 more source

Determinants of local food producer participation in state‐sponsored marketing programs: Evidence from Missouri

Agribusiness, EarlyView.
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley   +1 more source

Disentangling the worldwide invasion process of Halyomorpha halys through approximate Bayesian computation. [PDF]

Heredity (Edinb)
Boscolo Agostini R, Vizzari MT, Benazzo A, Ghirotto S.   +3 more
europepmc   +1 more source