Results 81 to 90 of about 3,223,623 (259)

Evaluation of Circular Pathways for Heavy‐Duty Vehicle Batteries in Europe Using a Multi‐Method Simulation Approach

Business Strategy and the Environment, EarlyView.
ABSTRACT Circular battery strategies have become of major interest focusing on material availability while increasing economic and environmental benefits. In this context of circular economy, one main challenge for automotive original equipment manufacturers is that the most profitable handling strategy along the lifecycle is unknown.
Michael Lieder, Farazee Mohammad Abdullah Asif, Amir Rashid   +2 more
wiley   +1 more source

Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering [PDF]

This paper analyzes patterns in the earnings development of young labor market entrants over their life cycle. We identify four distinctly different types of transition patterns between discrete earnings states in a large administrative data set. Further,
Sylvia Frühwirth-Schnatter, Christoph Pamminger, Rudolf Winter-Ebmer, Andrea Weber   +3 more
core   +2 more sources

pymle: A Python Package for Maximum Likelihood Estimation and Simulation of Stochastic Differential Equations

Journal of Statistical Software
This paper introduces the object-oriented Python package pymle, which provides core functionality for maximum likelihood estimation and simulation of univariate stochastic differential equations.
Justin L. Kirkby, Dang H. Nguyen, Duy Nguyen, Nhu Nguyen   +3 more
doaj   +1 more source

Maximum Entropy Rate Reconstruction of Markov Dynamics

Entropy, 2015
We develop ideas proposed by Van der Straeten to extend maximum entropy principles to Markov chains. We focus in particular on the convergence of such estimates in order to explain how our approach makes possible the estimation of transition ...
Gregor Chliamovitch, Alexandre Dupuis, Bastien Chopard   +2 more
doaj   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

Estimation of the stationary distribution of a semi-Markov chain

This article is concerned with the estimation of the stationary distribution of a discretetime semi-Markov process. After briefly presenting the discrete-time semi-Markov setting, wepropose an estimator of the associated stationary distribution. The main
Bulla, Jan, Barbu, Vlad, Maruotti, Antonello   +2 more
core   +1 more source

Tornadoes and related damage costs: statistical modelling with a semi-Markov approach

Geomatics, Natural Hazards & Risk, 2016
We propose a statistical approach to modelling for predicting and simulating occurrences of tornadoes and accumulated cost distributions over a time interval.
Guglielmo D’Amico, Raimondo Manca, Chiara Corini, Filippo Petroni, Flavio Prattico   +4 more
doaj   +1 more source

Extreme conditional quantile estimation for time series

Canadian Journal of Statistics, EarlyView.
Abstract We consider the estimation of an extreme conditional quantile QY(1−p|x0)$$ {Q}_Y\left(1-p|{x}_0\right) $$ for a heavy‐tailed distribution in the case of a strictly stationary time series (Xt,Yt)t∈ℤ$$ {\left({X}_t,{Y}_t\right)}_{t\in \mathbb{Z}} $$. Here, QY(·|x0)$$ {Q}_Y\left(\cdotp |{x}_0\right) $$ denotes the conditional quantile function of
Yuri Goegebeur, Armelle Guillou, Jing Qin   +2 more
wiley   +1 more source

Statistical Analysis for Constant-Stress Accelerated Life Test With Weibull Distribution Under Adaptive Type-II Hybrid Censored Data

IEEE Access, 2019
In this paper, we discuss the point and interval estimates of the parameters from Weibull distribution based on adaptive Type-II progressively hybrid censored data in constant-stress accelerated life test using maximum likelihood estimation (MLE) methods
Wei Cui, Zaizai Yan, Xiuyun Peng
doaj   +1 more source

Non‐Invasive Estimation of Systemic Drug Exposure Using Exhaled Breath Metabolomics in Humans: A Translational Proof‐of‐Concept Study

Clinical Pharmacology &Therapeutics, EarlyView.
Accurate assessment of systemic drug exposure in humans remains challenging, as conventional approaches rely on intermittent blood sampling and laboratory‐based assays that are invasive and provide limited temporal resolution. Exhaled breath contains volatile and semi‐volatile compounds arising from drug metabolism and downstream biological processes ...
Kai Fricke, Diego M. Baur, Kapil Dev Singh, Felix Schmidt, Kathrin Müsch, Noriane A. Sievi, Marco Di Donato, Anton Schmick, Jonas Herth, Silvia Ulrich, Pablo Sinues, Marian Galovic, Malcolm Kohler   +12 more
wiley   +1 more source