Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Stefan Sperlich"'
Publikováno v:
Stats, Vol 7, Iss 1, Pp 333-349 (2024)
Direct, indirect and synthetic estimators have a long history in official statistics. While model-based or model-assisted approaches have become very popular, direct and indirect estimators remain the predominant standard and are therefore important
Externí odkaz:
https://doaj.org/article/22deae11919440b8b40adf7c337c9ca9
Autor:
José Ramón Uriarte, Stefan Sperlich
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252453 (2021)
Natural languages with their speech communities tend to compete for speakers, very much like firms compete for market shares. As a result, some languages suffer a shifting pressure which might lead them to their extinction. This work studies the dyna
Externí odkaz:
https://doaj.org/article/66d70d45d783497a9b20e8132f0934b8
Publikováno v:
Swiss Journal of Economics and Statistics, Vol 152, Iss 1, Pp 49-80 (2016)
Summary We present an integration based procedure for predicting the distribution f of an indicator of interest in situations where, in addition to the sample data, one has access to covariates that are available for the entire population. The propos
Externí odkaz:
https://doaj.org/article/9b80b1f0c66b4b378ad4d976517cddff
Publikováno v:
Risks, Vol 8, Iss 2, p 32 (2020)
This note revisits the ideas of the so-called semiparametric methods that we consider to be very useful when applying machine learning in insurance. To this aim, we first recall the main essence of semiparametrics like the mixing of global and local
Externí odkaz:
https://doaj.org/article/68ddd929db6945088426e8fd3c4cf127
Publikováno v:
Risks, Vol 7, Iss 4, p 113 (2019)
In this paper, we apply machine learning to forecast the conditional variance of long-term stock returns measured in excess of different benchmarks, considering the short- and long-term interest rate, the earnings-by-price ratio, and the inflation ra
Externí odkaz:
https://doaj.org/article/07a0f5157e934d27bf9ff6d8c5a3ab02
Publikováno v:
Proceedings, Vol 21, Iss 1, p 42 (2019)
There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or populations with potentially different distributions, then the existing methods can easily be subop
Externí odkaz:
https://doaj.org/article/0e0add10808048289b346842402ec576
Publikováno v:
Economía Agraria y Recursos Naturales, Pp 3-20 (2011)
Estudiamos el precio de la tierra para uso agrario y las variables que determinan su evolución en España, tratando de identificar qué parte de la subida de precios observada se justifica por elementos «internos», relacionados con la renta agrari
Externí odkaz:
https://doaj.org/article/85c8d2b4a6474ae6999ed0c5ef796cde
Publikováno v:
Revista Colombiana de Estadística, Vol 33, Iss 2, Pp 307-319 (2010)
In non- and semiparametric testing, the wild bootstrap is a standard method for determining the critical values of tests. If the null hypothesis is also semi- or nonparametric, then we know that at least asymptotically oversmoothing is necessary in t
Externí odkaz:
https://doaj.org/article/42271d63045a42a590e602ba097586ed
Publikováno v:
Journal of the American Statistical Association. :1-12
In spite of its high practical relevance, cluster specific multiple inference for linear mixed model predictors has hardly been addressed so far. While marginal inference for population parameters is well understood, conditional inference for the clu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c04ca63823b0c8185bcbcb5b0c535169
https://doi.org/10.1080/01621459.2022.2044826
https://doi.org/10.1080/01621459.2022.2044826
Autor:
Sunil Kanwar, Stefan Sperlich
Publikováno v:
Journal of International Development.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f72bb902dd521cd634e16294eea625f1
https://doi.org/10.1002/jid.3735
https://doi.org/10.1002/jid.3735