Results 121 to 130 of about 5,030,646 (292)

Polynomial averages and pointwise ergodic theorems on nilpotent groups [PDF]

, 2022
Alexandru D. Ionescu, Ákos Magyar, Mariusz Mirek, Tomasz Z. Szarek   +3 more
openalex   +1 more source

On Exponential‐Family INGARCH Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT A range of integer‐valued generalised autoregressive conditional heteroscedastic (INGARCH) models have been proposed in the literature, including those based on conditional Poisson, negative binomial and Conway‐Maxwell‐Poisson distributions. This note considers a larger class of exponential‐family INGARCH models, showing that maximum empirical
Alan Huang, Thomas Fung, Kyle Macaskill, Rowan Aukes   +3 more
wiley   +1 more source

On Performance of Integrated Satellite HAPS Ground Communication: Aerial IRS Node vs Terrestrial IRS Node

IEEE Open Journal of the Communications Society
With an objective of ubiquitous connectivity around the world with enhanced spectral efficiency, intelligent reflecting surfaces (IRS) integrated satellite-terrestrial communications is a topic of research interest specially in infrastructure-deficient ...
Parvez Shaik, Kamal Kishore Garg, Praveen Kumar Singya, Vimal Bhatia, Ondrej Krejcar, Mohamed-Slim Alouini   +5 more
doaj   +1 more source

Joint Scheduling and Deep Learning-Based Beamforming for FD-MIMO Systems Over Correlated Rician Fading

IEEE Access, 2019
In this paper, we investigate the downlink transmission for full-dimension multiple-input multiple-output (FD-MIMO) systems over correlated Rician fading channels. With only statistical channel state information at the BS, the beamforming vectors of each
Xiao Li, Xiaoxiang Yu, Tingting Sun, Jiajia Guo, Jun Zhang   +4 more
doaj   +1 more source

Time‐Varying Dispersion Integer‐Valued GARCH Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT We introduce a general class of INteger‐valued Generalized AutoRegressive Conditionally Heteroscedastic (INGARCH) processes by allowing simultaneously time‐varying mean and dispersion parameters. We call such models time‐varying dispersion INGARCH (tv‐DINGARCH) models.
Wagner Barreto‐Souza, Luiza S. C. Piancastelli, Konstantinos Fokianos, Hernando Ombao   +3 more
wiley   +1 more source

Robust CDF‐Filtering of a Location Parameter

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania, Andrew C. Harvey, Alessandra Luati   +2 more
wiley   +1 more source

Advances in Relay Networks: Performance and Capacity Analysis of Space-Time Analog Network Coding

EURASIP Journal on Wireless Communications and Networking, 2010
We propose modified space-time-coding-based analog network coding (ANC) for multiple-relay network, termed space-time analog network coding (STANC). We present the performance and capacity analysis of the proposed network in terms of SER and ergodic ...
Adachi Fumiyuki, Tanoli ShujaatAliKhan, Khan Imran, Rajatheva Nandana   +3 more
doaj  

Meijer-G Function With Continued Product and Integer Exponent: Performance of Multi-Aperture UOWC System Over EGG Turbulence

IEEE Photonics Journal
Signal transmission over underwater optical wireless communication (UOWC) experiences the combined effect of oceanic turbulence and pointing errors statistically modeled using the sum of two Meijer-G functions.
Arvind Kumar, Nikumani Choudhury, Jayendra N. Bandyopadhyay, S. M. Zafaruddin   +3 more
doaj   +1 more source

A Note on Local Polynomial Regression for Time Series in Banach Spaces

Journal of Time Series Analysis, EarlyView.
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley   +1 more source

Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley   +1 more source