Results 221 to 230 of about 10,792 (301)
Model‐Free Local Partial Correlation
ABSTRACT In the simple linear regression context, partial correlation measures the linear association between two variables, with the linear effects of a third control variable removed. In this paper, we investigate the local partial correlation using a kernel smoothing approach.
Li‐Shan Huang +2 more
wiley +1 more source
A bound for relative magnetic helicity in terms of free magnetic energy. [PDF]
MacTaggart D.
europepmc +1 more source
Random hyperplane intersecting a fixed line in R^n and the Cauchy distribution
Ibrahim Salama
openalex +1 more source
Bit Error Rate Performance for High‐Order Passive Intermodulation Based on Modified Cauchy Distribution Model [PDF]
Ruxin Zhi +4 more
openalex +1 more source
Estimation of Daily Smoking Prevalence for Disaggregated Statistical Areas in Australia
ABSTRACT Motivated by the need to estimate prevalence at multiple disaggregated level hierarchies, rather than only one, this study extends widely used area‐level models in Bayesian and frequentist framework. We propose adding additional unstructured random effects at higher level disaggregated domains to the traditional models. Using our extension, we
Sumonkanti Das +4 more
wiley +1 more source
Aggregating dependent signals with heavy-tailed combination tests. [PDF]
Gui L, Jiang Y, Wang J.
europepmc +1 more source
ABSTRACT Music and language are both hierarchically structured: syllables combine into words, and meters are groupings of musical beats. Statistical learning (SL) supports speech segmentation through computation of transitional probabilities between syllables, and individual differences in SL ability were found predictive of further language ...
Iris van der Wulp +2 more
wiley +1 more source
Geomagnetic navigation metaheuristic algorithm for engineering optimization. [PDF]
Xiangsheng F, Longbiao Z.
europepmc +1 more source
The posterior estimates of the Cauchy error distribution.
Mehmet Ali Cengiz (17536646) +2 more
openalex +1 more source
A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes
ABSTRACT This study considers the stationary higher‐order Markov process for circular data by employing the mixture transition distribution modeling. The underlying circular transition distribution is based on Wehrly and Johnson's bivariate joint circular models.
Hiroaki Ogata, Takayuki Shiohama
wiley +1 more source

