Results 41 to 50 of about 18,829 (175)

WASABI: a dynamic iterative framework for gene regulatory network inference

open access: yesBMC Bioinformatics, 2019
Background Inference of gene regulatory networks from gene expression data has been a long-standing and notoriously difficult task in systems biology.
Arnaud Bonnaffoux   +6 more
doaj   +1 more source

Markov branching processes with disasters: extinction, survival and duality to p-jump processes

open access: yes, 2019
A $p$-jump process is a piecewise deterministic Markov process with jumps by a factor of $p$. We prove a limit theorem for such processes on the unit interval.
Hermann, F., Pfaffelhuber, P.
core   +1 more source

Algorithmic bisimulation for Communicating Piecewise Deterministic Markov Processes [PDF]

open access: yesProceedings of the 44th IEEE Conference on Decision and Control, 2006
In this paper we present an algorithm for finding a bisimulation relation for stochastic hybrid systems from the class of CPDPs (Communicating Piecewise Deterministic Markov Processes). We prove that the fixed point of the algorithm forms a bisimulation on the state space of the CPDP.
Strubbe, S.N., van der Schaft, Arjan
openaire   +2 more sources

Risk‐aware safe reinforcement learning for control of stochastic linear systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili   +2 more
wiley   +1 more source

A probabilistic view on the deterministic mutation-selection equation: dynamics, equilibria, and ancestry via individual lines of descent

open access: yes, 2018
We reconsider the deterministic haploid mutation-selection equation with two types. This is an ordinary differential equation that describes the type distribution (forward in time) in a population of infinite size.
Baake, Ellen   +2 more
core   +1 more source

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Trait coevolution and causal inference using generalized dynamic phylogenetic models

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Phylogenetic comparative methods are widely used to study trait coevolution across biological and cultural domains. The most common methods are phylogenetic generalized linear (mixed) models, phylogenetic path analysis, Pagel's ‘discrete’ method and Ornstein–Uhlenbeck models. While some frameworks like generalized linear mixed models are quite
Erik J. Ringen   +3 more
wiley   +1 more source

When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation

open access: yesInternational Economic Review, EarlyView.
ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley   +1 more source

Occasionally Observed Piecewise-Deterministic Markov Processes

open access: yesCommunications on Applied Mathematics and Computation
37 pages, 11 figures, submitted to Communications on Applied Mathematics and ...
Marissa Gee, Alexander Vladimirsky
openaire   +2 more sources

Measure‐valued processes for energy markets

open access: yesMathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero   +3 more
wiley   +1 more source

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