Results 151 to 160 of about 14,128,135 (294)

Antimicrobial Peptides and Peptidomimetics in Foods – A Synthetic Foray

ChemFoodChem, 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, Adejoke D. Osinubi, Abosede A. Badeji   +2 more
wiley   +1 more source

Modeling Pipeline Driving Behaviors: A Hidden Markov Model Approach [PDF]

Driving behaviors at intersection are complex because drivers have to perceive more traffic events than normal road driving and thus are exposed to more errors with safety consequences. Drivers make real-time responsesin a stochastic manner.
Xi Zou, David Levinson
core  

Predictive factors for remission in post-stroke depression: A Markov model cohort study. [PDF]

iScience
Liang W, Fang Y, Li T, Du Q, Liu Y, Chen S, Pan C, Li G, Zhu Z.   +8 more
europepmc   +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

Limb lengthening in achondroplasia: a cost-effectiveness analysis using a Markov model. [PDF]

Orphanet J Rare Dis
Roza Miguel PO, Leiva Gea A, Rabanal Rubio M, García-Rodríguez N, González Fidalgo E.   +4 more
europepmc   +1 more source

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

Canadian 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

A minimal chemo-mechanical Markov model for rotary catalysis of F₁-ATPase. [PDF]

Nat Commun
Chen Y, Grubmüller H.
europepmc   +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

The Cost Effectiveness of Treatment Strategies for Depression in Ethiopia: A Multiple Cohort Markov Model Analysis. [PDF]

Appl Health Econ Health Policy
Belay YB, Mihalopoulos C, Engel L, Lee YY.   +3 more
europepmc   +1 more source

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

Canadian 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