Results 1 to 10 of about 26,939 (224)

AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis.

PLoS Computational Biology
Understanding how multicellular organisms reliably orchestrate cell-fate decisions is a central challenge in developmental biology, particularly in early mammalian development, where tissue-level differentiation arises from seemingly cell-autonomous ...
Michael Alexander Ramirez Sierra, Thomas R Sokolowski   +1 more
doaj   +1 more source

The Relation between Granger Causality and Directed Information Theory: A Review

Entropy, 2012
This report reviews the conceptual and theoretical links between Granger causality and directed information theory. We begin with a short historical tour of Granger causality, concentrating on its closeness to information theory.
Pierre-Olivier Amblard, Olivier J. J. Michel   +1 more
doaj   +1 more source

Nonstationary fuzzy forecasting of wind and wave climate in very long-term scales

Journal of Ocean Engineering and Science, 2018
Global climate change may have serious impact on human activities in coastal and other areas. Climate change may affect the degree of storminess and, hence, change the wind-driven ocean wave climate.
Ch.N. Stefanakos, E. Vanem
doaj   +1 more source

simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data

Journal of Statistical Software, 2017
The simcausal R package is a tool for specification and simulation of complex longitudinal data structures that are based on non-parametric structural equation models. The package aims to provide a flexible tool for simplifying the conduct of transparent
Oleg Sofrygin, Mark J. van der Laan, Romain Neugebauer   +2 more
doaj   +1 more source

Generalized free energy and excess/housekeeping decomposition in nonequilibrium systems: From large deviations to thermodynamic speed limits

Physical Review Research
In genuine nonequilibrium systems under continuous driving, thermodynamic forces are nonconservative and cannot be described by any free energy potential.
Artemy Kolchinsky, Andreas Dechant, Kohei Yoshimura, Sosuke Ito   +3 more
doaj   +1 more source

Resolving outbreak dynamics using approximate Bayesian computation for stochastic birth–death models [version 2; peer review: 2 approved]

Wellcome Open Research, 2019
Earlier research has suggested that approximate Bayesian computation (ABC) makes it possible to fit simulator-based intractable birth–death models to investigate communicable disease outbreak dynamics with accuracy comparable to that of exact Bayesian ...
Jarno Lintusaari, Paul Blomstedt, Brittany Rose, Tuomas Sivula, Michael U. Gutmann, Samuel Kaski, Jukka Corander   +6 more
doaj   +1 more source

Inferring nonequilibrium thermodynamics from tilted equilibrium using information-geometric Legendre transform

Physical Review Research
Nonstationary thermodynamic quantities depend on the full details of nonstationary probability distributions, making them difficult to measure directly in experiments and numerics.
Naruo Ohga, Sosuke Ito
doaj   +1 more source

Disentangling Boltzmann Brains, the Time-Asymmetry of Memory, and the Second Law

Entropy
Are your perceptions, memories and observations merely a statistical fluctuation arising from of the thermal equilibrium of the universe, bearing no correlation to the actual past state of the universe?
David Wolpert, Carlo Rovelli, Jordan Scharnhorst   +2 more
doaj   +1 more source

Latitudinal Variation in Estuarine Archaeal Biogeography: Deterministic vs. Stochastic Assembly Processes and Network Stability Across China’s Coastal Ecosystems

Microorganisms
Latitudinal gradients are widely recognized as a key macro-environmental driver shaping microbial biogeographic patterns; however, the spatial organization of sediment archaeal communities in estuarine ecosystems and the mechanisms underlying their ...
Yingpai Liu, Guoqing Lv, Zeyu Zhang, Ziyan Fu, Guo Yuan, Jiale Ding, Shuhan Wang, Yingjie Ma, Yaqi Song, Xiaoshuang Zhao, Mao Ye, Yonghui Wang, Zongxiao Zhang   +12 more
doaj   +1 more source

Universal Stochastic Process in Blazar Gamma-Ray Variability Revealed by Bayesian Kernel Comparison

The Astrophysical Journal
Although Gaussian processes have been widely applied in modeling the high-energy light curves of blazars, a systematic comparison of the performances of different kernel functions within Gaussian processes has remained lacking.
Jiachao Liu, Nan Ding, Qiusheng Gu, Keli Peng, Yunyong Tang, Yongyun Chen, Dingrong Xiong   +6 more
doaj   +1 more source