This paper investigates the statistical properties of estimators for a partially linear time-varying coefficient spatial autoregressive panel data model with fixed effects. As a semiparametric extension of classical spatial ...

The conjugate gradient (CG) algorithm is widely recognized for its efficiency and simplicity in solving nonlinear equations as well as smooth and nonsmooth optimization problems. Nevertheless, its application to stochastic ...

This paper presents a rigorous statistical investigation into the comparative performance of state-of-the-art deep learning architectures and classical stochastic models for forecasting time series characterized by multiscale ...

Starting from the binary expansion of a uniform random variable, we consider weighted sums of independent Bernoulli variables in which both the success probabilities and the coe cients may vary with the approximation level. ...

Variable selection in fuzzy regression modeling is an important problem, especially when the number of predictors is large or when multicollinearity exists among the input variables. Existing penalized fuzzy regression ...

This paper proposes new multivariate normality tests based on the statistics of Zhang and Wu (2005). Their statistics are based on the likelihood ratio and have been shown to outperform traditional empirical distribution ...

The Gyeongju low- and intermediate-level radioactive waste (LILW) repository is the world'sonly integrated disposal site, combining several types of disposal facility on a single site, and its first-stage silofacility has ...

Neuroendocrine tumors (NETs) are heterogeneous malignancies with an increasing incidence,while early diagnosis and standardized staging remain challenging. Somatostatin receptors (SSTRs) are typicallyoverexpressed in ...

We investigated the diagnostic value of MRI in detecting wooden foreign bodies in the hands and feetthat had gone unnoticed clinically, evaluating its performance relative to US and X-ray. In this retrospective study,10 ...

Poly(acrylic acid) (PAA) requires precise control over its molecular weight and dispersity for advancedbiomedical and functional applications. Conventional reversible addition-fragmentation chain transfer (RAFT)polymerization ...