Zobrazeno 1 - 10
of 388
pro vyhledávání: '"102022 Softwareentwicklung"'
Autor:
Franz Greimel, Bettina Grün, Daniel S. Hayes, Norbert Höller, Julia Haider, Bernhard Zeiringer, Patrick Holzapfel, Christoph Hauer, Stefan Schmutz
Publikováno v:
River Research and Applications. 39:326-339
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dca337ecf9fd5bc0b8ee420645287929
https://doi.org/10.1002/rra.3978
https://doi.org/10.1002/rra.3978
Publikováno v:
Econometrics and Statistics. 22:124-135
The new model class of mixtures of generalised nonlinear models (GNMs) is introduced. The model is specified, identifiability issues discussed, the fitting in a maximum likelihood framework using the expectation-maximisation (EM) algorithm outlined a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::246d08ff9a6485142692e394f128ce4d
https://doi.org/10.1016/j.ecosta.2021.02.008
https://doi.org/10.1016/j.ecosta.2021.02.008
Publikováno v:
Advances in Data Analysis and Classification. 16:325-349
In model-based clustering, the Galaxy data set is often used as a benchmark data set to study the performance of different modeling approaches. Aitkin (Stat Model 1:287–304) compares maximum likelihood and Bayesian analyses of the Galaxy data set a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a706fd2732ec9b74ab3b76fe8e456e79
https://doi.org/10.1007/s11634-021-00461-8
https://doi.org/10.1007/s11634-021-00461-8
Early 2022 BSF4ooRexx 641 went GA (general available). BSF4ooRexx 641 (Java 6 and ooRexx 4.1 baseline) is an ooRexx-Java bridge camouflaging Java as ooRexx and making it easy to use any Java class library for ooRexx programmers.In preparation for a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10560::46b2a8a4dd44097b955fb5d97f644f6c
https://research.wu.ac.at/de/publications/94825a96-9b26-4ce0-929e-618924d6eeaf
https://research.wu.ac.at/de/publications/94825a96-9b26-4ce0-929e-618924d6eeaf
ooRexx 5.0 introduces a possibility to define Rexx command handlers at runtime and use them. The new BSF4ooRexx850 exploits the respective new native APIs such that it has become possible to implement Rexx command handlers in Java or NetRexx, but exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10560::260048fcd6c66914e666cc053c1e829e
https://research.wu.ac.at/de/publications/fe4f7b1d-4785-433f-95c4-d71a1138f342
https://research.wu.ac.at/de/publications/fe4f7b1d-4785-433f-95c4-d71a1138f342
Publikováno v:
International Journal of Market Research. 63:125-133
Survey data quality suffers when respondents have difficulty completing complex tasks in questionnaires. Cognitive load theory informed the development of strategies for educators to reduce the cognitive load of learning tasks. We investigate whether
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4420672f867a04f2b9c319f3fa31a5e2
https://doi.org/10.1177/1470785320986797
https://doi.org/10.1177/1470785320986797
Autor:
Anthony N. Rezitis, Gregor Kastner
Publikováno v:
The Australian Journal of Agricultural and Resource Economics
The present study investigates the price (co)volatility of four dairy commodities-skim milk powder, whole milk powder, butter, and cheddar cheese-in three major dairy markets. It uses a multivariate factor stochastic volatility model for estimating t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79fb26bbbc61e1624fab308a9875ea66
https://research.wu.ac.at/de/publications/a42f0909-0e7d-48ce-b687-b38826625499
https://research.wu.ac.at/de/publications/a42f0909-0e7d-48ce-b687-b38826625499
Autor:
Bettina Grün, Tatjana Miljkovic
Publikováno v:
North American Actuarial Journal. 25(4):562-579
Recent research in loss modeling resulted in a growing number of classes of statistical models as well as additional models being proposed within each class. Empirical results indicate that a range of models within or between model classes perform si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca4bfc35c98a4a4d7a832acc14290753
https://doi.org/10.1080/10920277.2021.1911668
https://doi.org/10.1080/10920277.2021.1911668
Publikováno v:
Journal of Statistical Software, Vol 94, Iss 1, Pp 1-64 (2020)
Journal of Statistical Software; Vol 94 (2020); 1-64
Journal of Statistical Software; Vol 94 (2020); 1-64
Optimization plays an important role in many methods routinely used in statistics, machine learning and data science. Often, implementations of these methods rely on highly specialized optimization algorithms, designed to be only applicable within a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::135f6d822b93043f4ac53ddcb3e256a7
https://www.jstatsoft.org/index.php/jss/article/view/3289
https://www.jstatsoft.org/index.php/jss/article/view/3289
Publikováno v:
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Automated process discovery is a technique that extractsmodels of executed processes from event logs. Logs typically include information about the activities performed, their timestamps and the resources that were involved in their execution. Recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d683ce64a3cbead70cff247bbb94843
https://doi.org/10.1007/s10270-020-00820-7
https://doi.org/10.1007/s10270-020-00820-7