Inference of time-varying regression models
T Zhang, WB Wu - The Annals of Statistics, 2012 - projecteuclid.org
We consider parameter estimation, hypothesis testing and variable selection for partially
time-varying coefficient models. Our asymptotic theory has the useful feature that it can allow …
time-varying coefficient models. Our asymptotic theory has the useful feature that it can allow …
Characteristic function based parameter estimation of skewed alpha-stable distribution: An analytical approach
MH Bibalan, H Amindavar, M Amirmazlaghani - Signal Processing, 2017 - Elsevier
This paper introduces a new technique for analytical parameter estimation of skewed α-
stable distribution with 1< α≤ 2. Stable distribution as a four-parameter non-Gaussian …
stable distribution with 1< α≤ 2. Stable distribution as a four-parameter non-Gaussian …
[PDF][PDF] Bibliography on stable distributions, processes and related topics
J Nolan - Technical Report, 2010 - edspace.american.edu
The following sections are a start on organizing references on stable distributions by topic. It
is far from complete. Starting on page 23 there is an extensive list of papers, most on stable …
is far from complete. Starting on page 23 there is an extensive list of papers, most on stable …
Bayesian inference for amplitude distribution with application to radar clutter
M Teimouri, SM Hoseini, MS Greco - Digital Signal Processing, 2024 - Elsevier
The performance of telecommunication systems is significantly subject to scattered signals
superposed at the receivers. Notably, if the superposed scattered signals are impulsive in …
superposed at the receivers. Notably, if the superposed scattered signals are impulsive in …
A validation study of α-stable distribution characteristic for seismic data
B Yue, Z Peng - Signal processing, 2015 - Elsevier
This paper studied the statistical characteristics of seismic traces. Compared with the
statistical characteristic of α-stable distribution random variables, it drew a conclusion that …
statistical characteristic of α-stable distribution random variables, it drew a conclusion that …
Time-varying ARMA stable process estimation using sequential Monte Carlo
Various time series data in applications ranging from telecommunications to financial
analysis and from geophysical signals to biological signals exhibit non-stationary and non …
analysis and from geophysical signals to biological signals exhibit non-stationary and non …
Distributed detection and decision fusion using particle filter concepts
U Mamikoğlu - acikbilim.yok.gov.tr
In this thesis, a distributed detection and decision fusion system that operates under non
Gaussian noise with unknown parameters is developed. The main objective is to find …
Gaussian noise with unknown parameters is developed. The main objective is to find …
Study of multi-targets tracking algorithm based on proposed particle filtering
X Zhongyu, C Hongxia, Z Li… - Proceeding of the 11th …, 2014 - ieeexplore.ieee.org
Aiming at data correlation and estimation problems in particle filtering multi-targets tracking,
classical particle filtering is extended into multi-targets state estimation in the given several …
classical particle filtering is extended into multi-targets state estimation in the given several …
Superimposed event detection by particle filters
In this study, the authors consider online detection and separation of superimposed events
by applying particle filtering. They observe only a single-channel superimposed signal …
by applying particle filtering. They observe only a single-channel superimposed signal …