Results 201 to 210 of about 129,477 (297)

Identifying the factors governing internal state switches during nonstationary sensory decision-making. [PDF]

Nat Commun
Mohammadi Z, Ashwood ZC, International Brain Laboratory, Pillow JW.   +3 more
europepmc   +1 more source

mixFOCuS: A Communication‐Efficient Online Changepoint Detection Method in Distributed System for Mixed‐Type Data

Journal of Time Series Analysis, EarlyView.
ABSTRACT With the advent of the Internet of Things, it is increasingly common to have large networks of sensors, where each sensor may collect different types of data, has limited local computing resources and the ability to transmit data to a central cloud. Detecting events that trigger changes in sensor data properties is a key concern.
Ziyang Yang, Idris A. Eckley, Paul Fearnhead   +2 more
wiley   +1 more source

Tensor Changepoint Detection and Eigenbootstrap

Journal of Time Series Analysis, EarlyView.
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta, Barbora Peštová, Martin Romaňák   +2 more
wiley   +1 more source

Redefining flow measurement in centrifugal pump: the case for RPM and power consumption-based estimation. [PDF]

J Extra Corpor Technol
Condello I.
europepmc   +1 more source

Nonparametric Detection of a Time‐Varying Mean

Journal of Time Series Analysis, EarlyView.
ABSTRACT We propose a nonparametric portmanteau test for detecting changes in the unconditional mean of a univariate time series which may display either long or short memory. Our approach is designed to have power against, among other things, cases where the mean component of the series displays abrupt level shifts, deterministic trending behaviour ...
Fabrizio Iacone, A. M. Robert Taylor
wiley   +1 more source

Investigation of the Robustness and Transferability of Adversarial Patches in Multi-View Infrared Target Detection. [PDF]

J Imaging
Zhou Q, Zhou Z, Zhang Z, Luo W, Xiao F, Xia S, Zhu C, Wang L.   +7 more
europepmc   +1 more source

Moving Sum Procedure for Multiple Change Point Detection in Large Factor Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper proposes a moving sum methodology for detecting multiple change points in high‐dimensional time series under a factor model, where changes are attributed to those in loadings as well as emergence or disappearance of factors. We establish the asymptotic null distribution of the proposed test for family‐wise error control and show the
Matteo Barigozzi, Haeran Cho, Lorenzo Trapani   +2 more
wiley   +1 more source

Transformation to estimate the causal effect in Mendelian randomization study with binary risk factor and outcome. [PDF]

BMC Bioinformatics
Lotfy N.
europepmc   +1 more source

Analyzing Non‐Random Selectivity in Online Job Advertisements Using Eurostat Benchmark Data and Generalized Sample Selection Models: An Application to EU Regional Labor Markets

LABOUR, EarlyView.
ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source