Results 71 to 80 of about 4,515 (154)
Robust estimation of a Markov chain transition matrix from multiple sample paths
Markov chains are fundamental models for stochastic dynamics, with applications in a wide range of areas such as population dynamics, queueing systems, reinforcement learning, and Monte Carlo methods. Estimating the transition matrix and stationary distribution from observed sample paths is a core statistical challenge, particularly when multiple ...
Lasse Leskelä, Maximilien Dreveton
wiley +1 more source
In this study, we investigate the thermodynamic stability and geometric thermodynamics of the Euler–Heisenberg black hole within the Rényi entropy framework.
Bhaskar Jyoti Gogoi
doaj +1 more source
The rate region of the task-encoding problem for two correlated sources is characterized using a novel parametric family of dependence measures. The converse uses a new expression for the $\rho$-th moment of the list size, which is derived using the ...
Bracher, Annina +2 more
core +1 more source
Nearly Hamilton cycles in sublinear expanders and applications
Abstract We develop novel methods for constructing nearly Hamilton cycles in sublinear expanders with good regularity properties, as well as new techniques for finding such expanders in general graphs. These methods are of independent interest due to their potential for various applications to embedding problems in sparse graphs.
Shoham Letzter +2 more
wiley +1 more source
Amplifying Inter-Message Distance: On Information Divergence Measures in Big Data
Message identification (M-I) divergence is an important measure of the information distance between probability distributions, similar to Kullback-Leibler (K-L) and Renyi divergence. In fact, M-I divergence with a variable parameter can make an effect on
Rui She, Shanyun Liu, Pingyi Fan
doaj +1 more source
Synthesis of amoxicillin: The reaction catalyzed by penicillin G acylase is investigated in an enzymatic reactor, considering both Michaelis–Menten and mechanism‐based models with reaction and equilibrium constants. Parameters are estimated via MCMC and Genetic Algorithm, with MCMC showing superior performance in validating the mathematical model in a ...
Lucas Figueiredo Formigosa +5 more
wiley +1 more source
Precision-Recall Curves Using Information Divergence Frontiers [PDF]
Despite the tremendous progress in the estimation of generative models, the development of tools for diagnosing their failures and assessing their performance has advanced at a much slower pace. Recent developments have investigated metrics that quantify
Djolonga, Josip +5 more
core +3 more sources
Statistical Divergence and Paths Thereof to Socioeconomic Inequality and to Renewal Processes
This paper establishes a general framework for measuring statistical divergence. Namely, with regard to a pair of random variables that share a common range of values: quantifying the distance of the statistical distribution of one random variable from ...
Iddo Eliazar
doaj +1 more source
Adaptive Diagnosis for Fault Tolerant Data Fusion Based on α-Rényi Divergence Strategy for Vehicle Localization. [PDF]
Makkawi K +3 more
europepmc +1 more source
General anesthesia is a critical procedure in clinical surgery. To offer a closed control of depth of hypnosis, we establish a closed-loop anesthetic delivery system for propofol anesthesia.
Zhenhu Liang +5 more
doaj +1 more source

