Zobrazeno 1 - 10 of 113 pro vyhledávání: '"Steffen L. Lauritzen"'
1
Akademický článek
Exchangeable Rasch matrices
Autor: Steffen L. Lauritzen
Publikováno v: Rendiconti di Matematica e delle Sue Applicazioni, Vol 28, Iss 1, Pp 83-95 (2008)
This article is concerned with binary random matrices that are exchangeable with the probability of any finite submatrix only depending on its row- and column sums. We describe basic representations of such matrices both in the case of full row- and
Externí odkaz: https://doaj.org/article/1eace857447345d59d31151c73306eef
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2
Akademický článek
nference in Graphical Gaussian Models with Edge and Vertex Symmetries with the gRc Package for R
Autor: Søren Højsgaard, Steffen L. Lauritzen
Publikováno v: Journal of Statistical Software, Vol 23, Iss 6 (2007)
In this paper we present the R package gRc for statistical inference in graphical Gaussian models in which symmetry restrictions have been imposed on the concentration or partial correlation matrix. The models are represented by coloured graphs where
Externí odkaz: https://doaj.org/article/f97451c8b48c439ca3debe9aff40ee33
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3
Identifiability and estimation of recursive max‐linear models
Autor: Claudia Klüppelberg, Nadine Gissibl, Steffen L. Lauritzen
Publikováno v: Gissibl, N, Klüppelberg, C & Lauritzen, S 2021, ' Identifiability and estimation of recursive max-linear models ', Scandinavian Journal of Statistics, vol. 48, no. 1, pp. 188-211 . https://doi.org/10.1111/sjos.12446
We address the identifiability and estimation of recursive max-linear structural equation models represented by an edge weighted directed acyclic graph (DAG). Such models are generally unidentifiable and we identify the whole class of DAGs and edge w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4098e173eea5bcf2025c4c6249bb2c2e
https://doi.org/10.1111/sjos.12446
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4
Harmonic analysis of symmetric random graphs
Autor: Steffen L. Lauritzen
Publikováno v: Lauritzen, S 2020, ' Harmonic analysis of symmetric random graphs ', Kybernetika, vol. 56, no. 6, pp. 1081-1089 . https://doi.org/10.14736/kyb-2020-6-1081
This note attempts to understand graph limits as defined by Lovasz and Szegedy (2006)} in terms of harmonic analysis on semigroups. This is done by representing probability distributions of random exchangeable graphs as mixtures of characters on the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aec0f97ddfe625e3ae06ee7ea7de5d55
https://curis.ku.dk/ws/files/254674140/HARMONIC_ANALYSIS_OF_SYMMETRIC_RANDOM_GRAPHS.pdf
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5
Maximum likelihood estimation in Gaussian models under total positivity
Autor: Piotr Zwiernik, Caroline Uhler, Steffen L. Lauritzen
Publikováno v: Lauritzen, S L, Uhler, C & Zwiernik, P 2019, ' Maximum likelihood estimation in Gaussian models under total positivity ', Annals of Statistics, vol. 47, no. 4, pp. 1835-1863 . https://doi.org/10.1214/17-AOS1668
Ann. Statist. 47, no. 4 (2019), 1835-1863
arXiv
We analyze the problem of maximum likelihood estimation for Gaussian distributions that are multivariate totally positive of order two ($\mathrm{MTP}_{2}$). By exploiting connections to phylogenetics and single-linkage clustering, we give a simple pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7939d60ef24fb4b10b1bcb29e32558ed
https://curis.ku.dk/ws/files/218403345/AOS1668.pdf
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6
Total positivity in exponential families with application to binary variables
Autor: Caroline Uhler, Piotr Zwiernik, Steffen L. Lauritzen
Publikováno v: Lauritzen, S L, Uhler, C & Zwiernik, P 2021, ' Total positivity in exponential families with application to binary variables ', Annals of Statistics, vol. 49, pp. 1436-1459 . https://doi.org/10.1214/20-AOS2007
We study exponential families of distributions that are multivariate totallypositive of order 2 (MTP2), show that these are convex exponential familiesand derive conditions for existence of the MLE. Quadratic exponentialfamiles of MTP2 distributions
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebdd8cbb9e0982459a9efce56fc3755e
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8
Causal Concepts and Graphical Models
Autor: Mathias Drton, Martin J. Wainwright, Steffen L. Lauritzen, Marloes Maathuis
Publikováno v: Handbook of Graphical Models ISBN: 9780429463976
This chapter focuses on statistical contexts where causal inference uses data to inform decisions about actions, for example with a view to public health policies. It considers different approaches to formalizing causal inquiries which, despite subtl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::af299d9d1884c50fb1490f6726d8da25
https://doi.org/10.1201/9780429463976-15
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10
Markov Properties for Mixed Graphical Models
Autor: Marloes Maathuis, Steffen L. Lauritzen, Martin J. Wainwright, Mathias Drton
Publikováno v: Handbook of Graphical Models ISBN: 9780429463976
This chapter considers models based on some of the more common varieties of the mixed graphs, specifically those introduced for two purposes: the unification of directed and undirected graphs; and models that are closed under marginalization. There i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f9ccd798d296abdba06b5ec7e876dea3
https://doi.org/10.1201/9780429463976-2
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