Results 1 to 10 of about 1,039,304 (269)

Robustness Analysis in Sequential Statistical Decisions

Austrian Journal of Statistics, 2020
The sequential statistical decision making is considered. Performance characteristics (error probabilities and expected sample sizes) for the sequential statistical decision rules (tests) are analysed.
Alexey Kharin
doaj   +5 more sources

Sequential analysis and its applications to neuromorphic engineering. [PDF]

Front Neurosci
Introduction:Neuromorphic circuits operate by comparing fluctuating signals to thresholds. This operation underpins sensing and computation in both neuromorphic architectures and biological nervous systems.
Mani S, Afshar S, Monk T.
europepmc   +2 more sources

Sequential statistical decision making in problems of data flows analysis

Informatika, 2021
In the problems of data flows analysis, the problems of statistical decision making on parameters of observed data flows are important. For their solution it is proposed to use sequential statistical decision rules.
A. Y. Kharin
doaj   +3 more sources

POINTS CLASSIFICATION BY A SEQUENTIAL HIGHER – ORDER MOMENTS STATISTICAL ANALYSIS OF LIDAR DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
The paper deals with a new sequential procedure to perform unsupervised LIDAR points classification by iteratively studying skewness and kurtosis for elevation and intensity point distribution values. After a preliminary local shape analysis of elevation
F. Crosilla, D. Macorig, I. Sebastianutti, D. Visintini   +3 more
doaj   +6 more sources

Human Motion Analysis via Statistical Motion Processing and Sequential Change Detection

EURASIP Journal on Image and Video Processing, 2009
The widespread use of digital multimedia in applications, such as security, surveillance, and the semantic web, has made the automated characterization of human activity necessary.
Briassouli Alexia, Tsiminaki Vagia, Kompatsiaris Ioannis   +2 more
doaj   +3 more sources

Statistical analysis of sequential motifs at biologically relevant protein-protein interfaces

Computational and Structural Biotechnology Journal
Understanding protein-protein interactions (PPIs) at the molecular level may lead to innovations in medicine and biochemistry. The assumption that there are certain “hot spots” on protein surfaces that mediate their interactions with other proteins has ...
Yair Frank, Ron Unger, Hanoch Senderowitz   +2 more
doaj   +3 more sources

Trial Sequential Analysis for dichotomous outcomes - a practical guide for systematic review protocols. [PDF]

BMC Med Res Methodol
Background Trial Sequential Analysis (TSA) is a statistical method to control random errors in systematic reviews with meta-analyses of randomised clinical trials.
Juul S, Riberholt CG, Olsen MH, Milan JB, Hafliðadóttir SH, Svanholm JH, Pedersen EB, Lew CCH, Asante MA, Ribeiro JP, Wagner V, Kumburegama BWMB, Lee ZY, Schaug JP, Madsen C, Gluud C.   +15 more
europepmc   +2 more sources

Inference in group sequential designs with causal mechanisms: implications for power and mediation analysis. [PDF]

BMC Med Res Methodol
Background Group sequential designs are increasingly employed to allow trials to stop early with statistical rigor. While existing work focuses on intention-to-treat effect on clinical endpoints, the properties of mediation analysis (commonly conducted ...
Lee KM, Emsley R.
europepmc   +2 more sources

Statistical analysis plan: Early mobilization by head-up tilt with stepping versus standard care after severe traumatic brain injury

Contemporary Clinical Trials Communications, 2021
Background: Early mobilization on a tilt table with stepping versus standard care may be beneficial for patients with severe brain injury, but data from randomized clinical trials are lacking.
Christian Gunge Riberholt, Christian Gluud, Janus Christian Jakobsen, Christian Ovesen, Jesper Mehlsen, Kirsten Møller   +5 more
doaj   +1 more source

Differentially Private Algorithms for Statistical Verification of Cyber-Physical Systems

IEEE Open Journal of Control Systems, 2022
Statistical model checking is a class of sequential algorithms that can verify specifications of interest on an ensemble of cyber-physical systems (e.g., whether 99% of cars from a batch meet a requirement on their functionality). These algorithms
Yu Wang, Hussein Sibai, Mark Yen, Sayan Mitra, Geir E. Dullerud   +4 more
doaj   +1 more source