Results 161 to 170 of about 12,894,975 (292)

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

open access: yesBusiness 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   +2 more
wiley   +1 more source

Antimicrobial Peptides and Peptidomimetics in Foods – A Synthetic Foray

open access: yesChemFoodChem, EarlyView.
This Review discusses AMPs in foods and their syntheses. It espouses facile methods to make them accessible and suggests their utility in the mitigation and eradication of the burgeoning maladies of antimicrobial and multidrug resistance (AMR and MDR).
Josephat U. Izunobi   +2 more
wiley   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

open access: yesCanadian 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   +3 more
wiley   +1 more source

A Generalized ARFIMA Process with Markov-Switching Fractional Differencing Parameter [PDF]

open access: yes
We propose a general class of Markov-switching-ARFIMA processes in order to combine strands of long memory and Markov-switching literature. Although the coverage of this class of models is broad, we show that these models can be easily estimated with the
Wolfgang Härdle, Wen-Jen Tsay
core  

Large parameter asymptotic analysis for homogeneous normalized random measures with independent increments

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley   +1 more source

Surveillance imaging for patients with head and neck cancer treated with definitive radiotherapy: A partially observed Markov decision process model. [PDF]

open access: yesCancer, 2020
Ng SP   +14 more
europepmc   +1 more source

Extreme conditional quantile estimation for time series

open access: yesCanadian 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   +2 more
wiley   +1 more source

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley   +1 more source

Markov or not Markov - this should be a question [PDF]

open access: yes
Although it is well known that Markov process theory, frequently applied in the literature on income convergence, imposes some very restrictive assumptions upon the data generating process, these assumptions have generally been taken for granted so far ...
Bickenbach, Frank, Bode, Eckhardt
core  

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