GATE Data Science & Artificial Intelligence Syllabus 2026, Check GATE DA Important Topics, Download PDF

IIT Guwahati has released the Data Science & Artificial Intelligence subject this year. Download the GATE Data Science & ...
IEEE

Quantitative Analysis of Metasurface With Random Phase Modulation on Complex HRRP: A Statistical Perspective

Abstract: Analyzing the influence of metasurface phase encoding on high-resolution range profile (HRRP) is essential for the design of modulation strategies and interference suppression. Periodic ...
Scientific Research Publishing

W. Liu, “Some Limit Properties of the Multivariate Function Sequences of Discrete Random Variables,” Statistics & Probability Letters, Vol. 61, No. 1, 2003, pp. 41-50. doi ...

ABSTRACT: This in virtue of the notion of likelihood ratio and the tool of moment generating function, the limit properties of the sequences of random discrete random variables are studied, and a ...
Frontiers

Analysis of influencing factors and equity in health education for mobile populations based on random forest model: evidence from the China migrants dynamic survey

1 School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China 2 Department of Rehabilitation Medicine, The First Affiliated Hospital, Zhejiang University School of ...
The Chronicle

How do Duke’s admissions statistics for the Class of 2029 compare to peer institutions?

Duke admitted a record-low 4.8% of applicants to the Class of 2029 this admission cycle. To put the University’s selectivity into context, The Chronicle compared Duke’s Early Decision, Regular ...
Frontiers

Prediction and the influencing factor study of colorectal cancer hospitalization costs in China based on machine learning-random forest and support vector regression: a ...

1 Department of Medical Record Statistics, Peking University Shenzhen Hospital, Shenzhen, China 2 School of Public Healthy, Guilin Medical University, Guilin, China Aims: As people’s standard of ...
eLife

Insights in neuronal tuning: Navigating the statistical challenges of autocorrelation and missing variables

This study presents important new insights into how best to address common problems encountered in the statistical analysis of neural data, including those related to temporal autocorrelations and ...