Results 101 to 110 of about 54,980 (218)

Reflection formulas for order derivatives of Bessel functions

, 2018
From new integral representations of the $n$-th derivative of Bessel functions with respect to the order, we derive some reflection formulas for the first and second order derivative of $J_{\nu }\left( t\right) $ and $% Y_{\nu }\left( t\right) $ for ...
González-Santander, J. L.
core  

Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Air pollution remains a major environmental risk factor that is often associated with adverse health outcomes. However, quantifying and evaluating its effects on human health is challenging due to the complex nature of exposure data. Recent technological advances have led to the collection of various indicators of air pollution at increasingly
Soumyakanti Pan, Sudipto Banerjee
wiley   +1 more source

Transient and Steady-State Analysis of an M/PH₂/1 Queue with Catastrophes

Axioms
In the paper, we consider the PH2-distribution, which is a particular case of the PH-distribution. In other words, The first service phase is exponentially distributed, and the service rate is μ. After the first service phase, the customer can to go away
Youxin Liu, Liwei Liu, Tao Jiang, Xudong Chai   +3 more
doaj   +1 more source

Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Spatial misalignment arises when datasets are aggregated or collected at different spatial scales, leading to information loss. We develop a Bayesian disaggregation framework that links misaligned data to a continuous‐domain model through an iteratively linearised integration scheme implemented with the Integrated Nested Laplace Approximation (
Man Ho Suen, Mark Naylor, Finn Lindgren
wiley   +1 more source

Poisson count time series

Journal of Time Series Analysis, Volume 47, Issue 2, Page 279-303, March 2026.
This article reviews and compares popular methods, some old and some recent, that produce time series having Poisson marginal distributions. The article begins by narrating ways where time series with Poisson marginal distributions can be produced.
Jiajie Kong, Robert Lund
wiley   +1 more source

A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes

Journal of Time Series Analysis, Volume 47, Issue 2, Page 304-320, March 2026.
ABSTRACT This study considers the stationary higher‐order Markov process for circular data by employing the mixture transition distribution modeling. The underlying circular transition distribution is based on Wehrly and Johnson's bivariate joint circular models.
Hiroaki Ogata, Takayuki Shiohama
wiley   +1 more source

Semiparametric regression for circular response with application in ecology

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 54-101, March 2026.
ABSTRACT A regression model for a circular response variable depending on a linear or a circular predictor is presented in this paper. The conditional density belongs to a parametric flexible family that allows for asymmetry and varying peakedness around the modal direction.
Jose Ameijeiras‐Alonso, Irène Gijbels
wiley   +1 more source

On goodness‐of‐fit testing for self‐exciting point processes

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 102-139, March 2026.
Abstract Despite the wide usage of parametric point processes in theory and applications, a sound goodness‐of‐fit procedure to test whether a given parametric model is appropriate for data coming from a self‐exciting point process has been missing in the literature.
José Carlos Fontanesi Kling, Mathias Vetter   +1 more
wiley   +1 more source

On the Construction of Moho Reflected Shear Wave Phases From Ambient Noise

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Shear waves reflected from the Moho (SmS) are frequently identified in ambient noise cross‐correlation functions. Despite their consistent appearance across various arrays and studies, the physical origin and generation mechanisms of these SmS phases remain poorly understood.
Jinyun Xie, Yinhe Luo, Yingjie Yang, Ping Tong, Yanan Xie   +4 more
wiley   +1 more source

Density Modulations of Zero Sound

Annalen der Physik, Volume 538, Issue 2, February 2026.
Zero sound is a collective mode of the strongly interacting quantum gas that propagates when atomic collisions are negligible, similarly to a plasmon. This work aims at investigating the conditions under which a density modulation associated to this collective mode travels coherently through a strongly interacting Fermi gas.
Leonardo Pisani
wiley   +1 more source