Results 31 to 40 of about 354,169 (304)

Restricted Tweedie stochastic block models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

Paraşkev Haciev’in Aksak Ritimlerde Yazdığı “Melodik Etütleri”nin İncelenmesi

open access: yesJournal of Music and Folklore Studies
20. yüzyılda Bulgar müzik ekolünün ve kültürünün gelişmesi için yaptığı çalışmalar ile Bulgaristan’ın en önemli bestecilerinden ve pedagoglarından biri olan Paraşkev Haciev’in müzik teori kitapları pek çok Avrupa ülkesinde olduğu gibi, Türkçe diline ...
Akın Araboğlu
doaj   +1 more source

Bending of Functionally Graded Sandwich Nanoplates Resting on ‎Pasternak Foundation under Different Boundary Conditions [PDF]

open access: yesJournal of Applied and Computational Mechanics, 2020
This article proposes a refined higher order nonlocal strain gradient theory for stresses and deflections of new model of functionally graded (FG) sandwich nanoplates resting on Pasternak elastic foundation.
Ahmed A. Daikh, Ashraf M. Zenkour
doaj   +1 more source

Rank‐based estimation of propensity score weights via subclassification

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang   +3 more
wiley   +1 more source

Пейзаж в творчестве С.Ю. Жуковского (1873-1944)

open access: yesИскусство Евразии, 2018
Среди мастеров русской пейзажной живописи конца XIX – начала XX столетия, определивших ее лицо, важно отметить Станислава Юлиановича Жуковского (1873-1944) – выдающегося мастера дореволюционной и предреволюционной России.
Филиппова, Ольга Николаевна
doaj   +1 more source

Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang   +5 more
wiley   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne   +2 more
wiley   +1 more source

Scrutinizing the Critical Edition of Chopin's Étude Op. 25, No. 1: Insights and Challenges [PDF]

open access: yesMusical Offerings
This article examines the widely used critical edition of Chopin’s Étude Op. 25, No. 1, analysing the editorial approach, inherent challenges, and interpretative decisions that shaped its final form.
Tyler Lam
doaj   +1 more source

Asymptotic properties of cross‐classified sampling designs

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja   +3 more
wiley   +1 more source

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