https://www.umass.edu/mathematics-statistics/events/identifiable-and-interpretable-nonparametric-factor-analysis
Factor models have been widely used to summarize the variability of high-dimensional data through a set of factors with much lower dimensionality. Gaussian...
department of mathematicsfactor analysisidentifiablenonparametric
https://link.springer.com/article/10.1007/s00477-021-02102-0?error=cookies_not_supported&code=495232d3-c265-4f10-be92-d7ea3f84d83e
Oct 7, 2021 - The extrapolation of quantiles beyond or below the largest or smallest observation plays an important role in hydrological practice, design of hydraulic st
nonparametricextrapolationextremequantilescomparison
https://deepai.org/publication/learning-hmms-with-nonparametric-emissions-via-spectral-decompositions-of-continuous-matrices
09/21/16 - Recently, there has been a surge of interest in using spectral methods for estimating latent variable models. However, it is usual...
learninghmmsnonparametricemissionsvia
https://www.cambridge.org/core/books/fundamentals-of-nonparametric-bayesian-inference/C96325101025D308C9F31F4470DEA2E8
Cambridge Core - Statistical Theory and Methods - Fundamentals of Nonparametric Bayesian Inference
bayesian inferencefundamentalsnonparametric
https://scirp.org/reference/referencespapers?referenceid=1537114
Siegel, S. and Castellan Jr., N.J. (1988) Nonparametric Statistics for the Behavioral Sciences. McGraw-Hill, New York.
s andnonparametric statisticssiegelcastellanjr
https://www.census.gov/library/working-papers/2007/adrm/rrs2007-15.html
A Nonparametric Method for Asymmetrically Extending Signal Extraction Filters
nonparametricmethodextendingsignal
https://www.umanitoba.ca/science/research/statistics/nonparametric-statistics
Nonparametric statistics is a branch of statistics that focuses on methods and techniques for analyzing data when the underlying population distribution is not...
nonparametric statisticsscience universityresearchfaculty
https://www.nber.org/papers/w10105
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings...
first pricesealed bidnonparametrictestscommon
https://deepai.org/publication/nonparametric-quantile-regression-for-homogeneity-pursuit-in-panel-data-models
05/04/21 - Many panel data have the latent subgroup effect on individuals, and it is important to correctly identify these groups since the e...
quantile regressionpanel datanonparametrichomogeneitypursuit
https://openreview.net/forum?id=zbFiEmkFNP&referrer=%5Bthe%20profile%20of%20Yi%20Yu%5D(%2Fprofile%3Fid%3D~Yi_Yu3)
Dynamic pricing strategies are crucial for firms to maximize revenue by adjusting prices based on market conditions and customer characteristics. However,...
transfer learningdynamic pricingnonparametriccontextual