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The work of Professor Andrzej Lasota on asymptotic stability and recent progress [PDF]

Opuscula Mathematica, 2008
The paper is devoted to Professor Andrzej Lasota's contribution to the ergodic theory of stochastic operators. We have selected some of his important papers and shown their influence on the evolution of this topic. We emphasize the role A.
Wojciech Bartoszek
doaj  

Asymptotics of smoothed Wasserstein distances in the small noise regime [PDF]

, 2022
Yunzi Ding, Jonathan Niles‐Weed
openalex   +1 more source

MortalitySmooth: An R Package for Smoothing Poisson Counts with P-Splines

Journal of Statistical Software, 2012
The MortalitySmooth package provides a framework for smoothing count data in both one- and two-dimensional settings. Although general in its purposes, the package is specifically tailored to demographers, actuaries, epidemiologists, and geneticists who ...
Carlo G. Camarda
doaj  

Improved Confidence Intervals for Expectiles

Mathematics
Expectiles were introduced to statistics around 40 years ago, but have recently gained renewed interest due to their relevance in financial risk management.
Spiridon Penev, Yoshihiko Maesono
doaj   +1 more source

Smoothing and Differentiation of Kinematic Data Using Functional Data Analysis Approach: An Application of Automatic and Subjective Methods

Applied Sciences, 2020
Smoothing is one of the fundamental procedures in functional data analysis (FDA). The smoothing parameter λ influences data smoothness and fitting, which is governed by selecting automatic methods, namely, cross-validation (CV) and generalized ...
Muhammad Athif Mat Zin, Azmin Sham Rambely, Noratiqah Mohd Ariff, Muhammad Shahimi Ariffin   +3 more
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Complexity-Regularized Regression for Serially-Correlated Residuals with Applications to Stock Market Data

Entropy, 2014
A popular approach in the investigation of the short-term behavior of a non-stationary time series is to assume that the time series decomposes additively into a long-term trend and short-term fluctuations.
David Darmon, Michelle Girvan
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A Novel Method for Recognition of Persian Alphabet by Using Fuzzy Neural Network

IEEE Access, 2018
This paper presents a system that can recognize handwritten words expressed using broken letters of the Persian alphabet. The proposed system can be used for most activities related to the gathering of public information.
Mohammad Mehdi Motahari Kia, Jafar A. Alzubi, Mehdi Gheisari, Xiaobo Zhang, Mohamadtaghi Rahimi, Yongrui Qin   +5 more
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Distributed Lag Linear and Non-Linear Models in R: The Package dlnm

Journal of Statistical Software, 2011
Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associations showing potentially non-linear and delayed effects in time series data.
Antonio Gasparrini
doaj  

STATISTICAL METHODS OF ANALYSIS OF FINANCIAL INDICATORS NEEDED TO MODEL VALUATIONS

Статистика и экономика, 2016
The article presents the methods of analysis and interpretation of financial performance required to create a comprehensive and universal model of valuation.
Ivan E. Akulin
doaj   +1 more source

Smooth Bilevel Programming for Sparse Regularization [PDF]

, 2021
Clarice Poon, Gabriel Peyré
openalex   +1 more source