Results 11 to 20 of about 816,450 (327)
Functional estimation and hypothesis testing in nonparametric boundary models [PDF]
Bernoulli, 2019 Consider a Poisson point process with unknown support boundary curve $g$, which forms a prototype of an irregular statistical model. We address the problem of estimating non-linear functionals of the form $\int \Phi(g(x))dx$.
Markus Reiß, Martin Wahl
semanticscholar +5 more sources
AAAI Conference on Artificial Intelligence, 2015 This paper is about two related decision theoretic problems, nonparametric two-sample testing and independence testing. There is a belief that two recently proposed solutions, based on kernels and distances between pairs of points, behave well in ...
Aaditya Ramdas +4 more
semanticscholar +5 more sources
Nonparametric hypothesis testing for equality of means on the simplex [PDF]
, 2016 We investigate use of empirical and exponential empirical likelihood, and Hotelling and James statistics, to test the null hypothesis of equal population means based on two independent samples of data on the simplex.
Michail Tsagris +2 more
semanticscholar +5 more sources
Statistical inferences and applications of nonparametric regression models based on fourier series [PDF]
MethodsXThis study develops statistical inference methods, including estimation and hypothesis testing procedures, which consist of partial and simultaneous tests for nonparametric regression models based on Fourier series approximations.
Suliyanto +3 more
doaj +2 more sources
A statistical inference framework for FSNBLR: Modeling underdeveloped regional status in Eastern Indonesia [PDF]
MethodsXPersistent regional disparities in Indonesia, particularly in Eastern provinces, necessitate advanced modeling to understand underdevelopment determinants.
Muhammad Zulfadhli +4 more
doaj +2 more sources
A NONPARAMETRIC HYPOTHESIS TEST VIA THE BOOTSTRAP RESAMPLING [PDF]
, 2001 This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test.
Tuğrul Temel, Temel, Tugrul T.
+6 more sources
A nonparametric test of a strong leverage hypothesis [PDF]
Journal of Econometrics, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oliver Linton +2 more
openalex +6 more sources
IEEE AccessThis work presents a lightweight statistical method for detecting nonstationarities in motor current signals, aiming to improve the diagnosis of transient events such as sudden load changes or inverter disturbances.
Eduardo Vaz Fagundes Rech +2 more
doaj +2 more sources
A Nonparametric Test of the Leverage Hypothesis [PDF]
SSRN Electronic Journal, 2012 The so-called leverage hypothesis is that negative shocks to prices/returns aect volatility more than equal positive shocks. Whether this is attributable to changing nancial leverage is still subject to dispute but the terminology is in wide use. There are many tests of the leverage hypothesis using discrete time data.
Oliver B. Linton +2 more
openalex +4 more sources
Minimax Nonparametric Hypothesis Testing: The Case of an Inhomogeneous Alternative [PDF]
Bernoulli, 1999 The aim of the paper is to study the problem of testing a simple hypothesis for a non-parametric ``signal + white-noise'' model. Under the null hypothesis it is assumed that the ``signal'' is completely specified (e.g., that no signal is present). This hypothesis is tested against a composite alternative where the underlying function (the signal) is ...
O. Lepski, V. Spokoiny
semanticscholar +4 more sources