Ola Hössjer

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
Statistical learning does not always entail knowledge.
CoRR
Daniel Andrés Díaz-Pachón, H. Renata Gallegos, Ola Hössjer, J. Sunil Rao
2024 J jnl
An Information Theoretic Approach to Prevalence Estimation and Missing Data.
IEEE Trans. Inf. Theory
Ola Hössjer, Daniel Andrés Díaz-Pachón, Chen Zhao, J. Sunil Rao
2024 J jnl
Classification Under Partial Reject Options.
J. Classif.
Måns Karlsson, Ola Hössjer
2024 J jnl
Erratum: Classification Under Partial Reject Options.
J. Classif.
Måns Karlsson, Ola Hössjer
2024 J jnl
Is it possible to know cosmological fine-tuning?
CoRR
Daniel Andrés Díaz-Pachón, Ola Hössjer, Calvin Mathew
2024 J jnl
Use of directed quasi-metric distances for quantifying the information of gene families.
Biosyst.
Steinar Thorvaldsen, Ola Hössjer
2022 J jnl
A Formal Framework for Knowledge Acquisition: Going beyond Machine Learning.
Entropy
Ola Hössjer, Daniel Andrés Díaz-Pachón, J. Sunil Rao
2022 J jnl
Active information, missing data and prevalence estimation.
CoRR
Ola Hössjer, Daniel Andrés Díaz-Pachón, Chen Zhao, J. Sunil Rao
2022 J jnl
Assessing, Testing and Estimating the Amount of Fine-Tuning by Means of Active Information.
Entropy
Daniel Andrés Díaz-Pachón, Ola Hössjer
2022 J jnl
Assessing, testing and estimating the amount of fine-tuning by means of active information.
CoRR
Daniel Andrés Díaz-Pachón, Ola Hössjer
2019 J jnl
A spatio-temporal point process model for particle growth.
J. Appl. Probab.
Ola Hössjer
2015 J jnl
A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis.
BioData Min.
Magnus Lekman, Robert Karlsson, Lisette Graae, Ola Hössjer, Ingrid Kockum
2014 J jnl
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study.
BioData Min.
Magnus Lekman, Ola Hössjer, Peter C. Andrews, Henrik Källberg, Daniel Uvehag, Dennis S. Charney, Husseini K. Manji, John A. Rush, Francis J. McMahon, Jason H. Moore, Ingrid Kockum
2009 J jnl
Utilizing identity-by-descent probabilities for genetic fine-mapping in population based samples, via spatial smoothing of haplotype effects.
Comput. Stat. Data Anal.
Linda Hartman, Ola Hössjer, Keith Humphreys
2008 J jnl
Fast kriging of large data sets with Gaussian Markov random fields.
Comput. Stat. Data Anal.
Linda Hartman, Ola Hössjer
2006 J jnl
Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional normalization method.
BMC Bioinform.
Henrik Bengtsson, Ola Hössjer
1995 J jnl
On-line density estimators with high efficiency.
IEEE Trans. Inf. Theory
Ola Hössjer, Ulla Holst
1993 J jnl
Robust multiple classification of known signals in additive noise - An asymptotic weak signal approach.
IEEE Trans. Inf. Theory
Ola Hössjer, Moncef Mettiji