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Profil bibliographique

Søren Højsgaard

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

138Publications signalées
6408Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Bayesian Modeling and Causal InferenceData Analysis with RStatistical Methods and Bayesian InferenceGenetic and phenotypic traits in livestockAnimal Behavior and Welfare Studies

Les publications récentes

Accès ouvert 2024 article OpenAlex

On some algorithms for estimation in Gaussian graphical models

Søren Højsgaard, Steffen L. Lauritzen

Abstract In Gaussian graphical models, the likelihood equations must typically be solved iteratively. This paper investigates two algorithms: a version of iterative proportional scaling, which avoids inversion of large matrices, and an algorithm based on convex duality and operating on the covariance …

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17 citations Biometrika
Accès ouvert 2024 article OpenAlex

Computer Algebra in R Bridges a Gap Between Symbolic Mathematics and Data in the Teaching of Statistics and Data Science

Mikkel Meyer Andersen, Søren Højsgaard

The capability of R to do symbolic mathematics is enhanced by the reticulate and caracas packages. The workhorse behind these packages is the Python computer algebra library SymPy. Via reticulate, the SymPy library can be accessed from within R. This, however, requires …

dk (code pays fourni par la source)

2 citations The R Journal
Accès ouvert 2024 article OpenAlex

jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks

Mads Lindskou, Torben Tvedebrink, Søren Højsgaard, Niels Morling

A Bayesian network is a multivariate (potentially very high dimensional) probabilistic model formed by combining lower-dimensional components. In Bayesian networks, the computation of conditional probabilities is fundamental for model-based predictions. This is usually done based on message passing algorithms that utilize conditional …

dk, se (code pays fourni par la source)

0 citations Journal of Statistical Software
Accès ouvert 2023 conference-paper OpenAlex

Computer algebra systems in R

Mikkel Meyer Andersen, Søren Højsgaard

R's ability to do symbolic mathematics is largely restricted to finding derivatives. There are many tasks involving symbolic math that are of interest to R users, e.g. inversion of symbolic matrices, limits and solving non-linear equations. Users must resort to other computer …

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0 citations VBN Forskningsportal (Aalborg Universitet)
Accès ouvert 2022 preprint OpenAlex

Unity Smoothing for Handling Inconsistent Evidence in Bayesian Networks and Unity Propagation for Faster Inference

Mads Lindskou, Torben Tvedebrink, Poul Svante Eriksen, Søren Højsgaard et autres

We propose Unity Smoothing (US) for handling inconsistencies between a Bayesian network model and new unseen observations. We show that prediction accuracy, using the junction tree algorithm with US is comparable to that of Laplace smoothing. Moreover, in applications were sparsity of …

0 citations arXiv (Cornell University)
Accès ouvert 2022 dataset OpenAlex

geeasy: Solve Generalized Estimating Equations for Clustered Data

Anne Helby Petersen, Lee McDaniel, Søren Højsgaard

Estimation of generalized linear models with correlated/clustered observations by use of generalized estimating equations (GEE). See e.g. Halekoh and Højsgaard, (2005, <doi:10.18637/jss.v015.i02>), for details. Several types of clustering are supported, including exchangeable variance structures, AR1 structures, M-dependent, user-specified variance structures and more. …

0 citations

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