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We consider a time-varying first-order autoregressive model with irregular innovations, where we assume that the coefficient function is H\"{o}lder continuous. To estimate this function, we use a quasi-maximum likelihood based approach. A…

Statistics Theory · Mathematics 2023-02-28 Hanna Gruber , Moritz Jirak

In this paper, we examine a multi-sensor system where each sensor monitors multiple dynamic information processes and transmits updates over a shared communication channel. These updates may include correlated information across the various…

Information Theory · Computer Science 2025-02-13 Egemen Erbayat , Ali Maatouk , Peng Zou , Suresh Subramaniam

Aging research has produced powerful explanatory frameworks -- evolutionary theories, the Hallmarks of Aging, SENS, geroscience, hyperfunction, and information-loss models -- yet none provides quantitative rules for determining which…

Molecular Networks · Quantitative Biology 2026-05-19 Alex Zhavoronkov

Electricity load consumption may be extremely complex in terms of profile patterns, as it depends on a wide range of human factors, and it is often correlated with several exogenous factors, such as the availability of renewable energy and…

Machine Learning · Computer Science 2025-02-03 Aleksei Kychkin , Georgios C. Chasparis

As the global population continues to age, there is an increasing demand for ways to accurately quantify the biological processes underlying aging. Biological age, unlike chronological age, reflects an individual's physiological state,…

Quantitative Methods · Quantitative Biology 2025-08-29 Jared A Kushner , Mohit Pandey , Sandeep , S Kohli

We create a novel benchmark for evaluating a Deployable Lifelong Learning system for Visual Reinforcement Learning (RL) that is pretrained on a curated dataset, and propose a novel Scalable Lifelong Learning system capable of retaining…

Machine Learning · Computer Science 2023-12-19 Kiran Lekkala , Eshan Bhargava , Yunhao Ge , Laurent Itti

A wavelet-based changepoint method is proposed that determines when the variability of the noise in a sequence of functional profiles goes out-of-control from a known, fixed value. The functional portion of the profiles are allowed to come…

Methodology · Statistics 2015-08-20 Vladimir J. Geneus , Eric Chicken , Jordan Cuevas , Joseph J. Pignatiello

Quantum repeater networks distribute entanglement over long distances but must balance fidelity, delay, and resource contention. Prior work optimized throughput and end-to-end fidelity, yet little attention has been paid to the freshness of…

Quantum Physics · Physics 2026-02-11 Ozgur Ercetin , Zafer Gedik

Mendelian randomization is an instrumental variable method that utilizes genetic information to investigate the causal effect of a modifiable exposure on an outcome. In most cases, the exposure changes over time. Understanding the…

Methodology · Statistics 2024-03-11 Haodong Tian , Ashish Patel , Stephen Burgess

We focus on the Age of Information (AoI) performance in a system where each user generates packets periodically to send to a common access point (AP) for status updating. To avoid heavy overhead, we assume that channel sensing, feedback…

Information Theory · Computer Science 2024-11-15 Fang Liu , Wing Shing Wong , Yuan-Hsun Lo , Yijin Zhang , Chung Shue Chen

In this paper, we investigate various stochastic orderings for series and parallel systems with independent and heterogeneous components having lifetimes following the proportional odds model. We also investigate comparisons between system…

Statistics Theory · Mathematics 2020-07-28 Pradip Kundu , Nil Kamal Hazra , Asok K. Nanda

Numerous experimental and theoretical studies have established that intramolecular vibrational energy redistribution (IVR) in isolated molecules has a heirarchical tier structure. The tier structure implies strong correlations between the…

Chaotic Dynamics · Physics 2009-11-07 Srihari Keshavamurthy , Nicholas R. Cerruti , Steven Tomsovic

Variable importance is one of the most widely used measures for interpreting machine learning with significant interest from both statistics and machine learning communities. Recently, increasing attention has been directed toward…

Machine Learning · Statistics 2025-12-22 Xiaohan Wang , Yunzhe Zhou , Giles Hooker

In the past few years systems with slow dynamics have attracted considerable theoretical and experimental interest. Ageing phenomena are observed during this ever-lasting non-equilibrium evolution. A simple instance of such a behaviour is…

Statistical Mechanics · Physics 2011-07-19 Pasquale Calabrese , Andrea Gambassi

We take a new perspective on identification in structural dynamic models: rather than imposing restrictions alone, we optimize an objective. While definitive structural identification ultimately requires exogenous economic insight, a…

Econometrics · Economics 2026-04-30 Neville Francis , Peter Reinhard Hansen , Chen Tong

Through the quantification of physical activity energy expenditure (PAEE), health care monitoring has the potential to stimulate vital and healthy ageing, inducing behavioural changes in older people and linking these to personal health…

Signal Processing · Electrical Eng. & Systems 2022-01-12 Stylianos Paraschiakos , Cláudio Rebelo de Sá , Jeremiah Okai , Eline P. Slagboom , Marian Beekman , Arno Knobbe

We consider a manufacturer who manages the end-of-life phase and takes one of the three actions at each period: (1) place an order, (2) use existing inventory, (3) stop holding inventory and use an outside/alternative source. Two examples…

Optimization and Control · Mathematics 2021-10-26 Emin Ozyoruk , Nesim K. Erkip , Çağın Ararat

The aging dynamics after shear rejuvenation in a glassy, charged clay suspension have been investigated through dynamic light scattering (DLS). Two different aging regimes are observed: one is attained if the sample is rejuvenated before…

Soft Condensed Matter · Physics 2009-11-11 F. Ianni , R. Di Leonardo , S. Gentilini , G. Ruocco

The freshness of sensor data is critical for all types of cyber-physical systems. An established measure for quantifying data freshness is the Age-of-Information (AoI), which has been the subject of extensive research. Recently, there has…

Networking and Internet Architecture · Computer Science 2024-12-18 Markus Fidler , Flavio Gallistl , Jaya Prakash Champati , Joerg Widmer

The Age of Information (AoI) is a performance metric that quantifies the freshness of data in systems where timely updates are critical. Most state-of-the-art methods typically assume that packets enter the monitored system with zero age,…

Information Theory · Computer Science 2025-12-01 Fernando Miguelez , Urtzi Ayesta , Josu Doncel , Maria Dolores Ugarte