Robust multiple classification of known signals in additive noise - An asymptotic weak signal approach. - Ola Hössjer; Moncef Mettiji (IEEE Trans. Inf. Theory, 1993)

On-line density estimators with high efficiency. - Ola Hössjer; Ulla Holst (IEEE Trans. Inf. Theory, 1995)

Adaptive detection of known signals in additive noise by means of kernel density estimators. - Rolf T. Gustafsson; Ola G. Hössjer; Tommy Öberg (IEEE Trans. Inf. Theory, 1997)

Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional normalization method. - Henrik Bengtsson; Ola Hössjer (BMC Bioinform., 2006)

Fast kriging of large data sets with Gaussian Markov random fields. - Linda Hartman; Ola Hössjer (Comput. Stat. Data Anal., 2008)

Utilizing identity-by-descent probabilities for genetic fine-mapping in population based samples, via spatial smoothing of haplotype effects. - Linda Hartman; Ola Hössjer; Keith Humphreys (Comput. Stat. Data Anal., 2009)

The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study. - 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 (BioData Min., 2014)

A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis. - Magnus Lekman; Robert Karlsson; Lisette Graae; Ola Hössjer; Ingrid Kockum (BioData Min., 2015)

A spatio-temporal point process model for particle growth. - Ola Hössjer (J. Appl. Probab., 2019)

Active information, missing data and prevalence estimation. - Ola Hössjer; Daniel Andrés Díaz-Pachón; Chen Zhao; J. Sunil Rao (CoRR, 2022)

Assessing, Testing and Estimating the Amount of Fine-Tuning by Means of Active Information. - Daniel Andrés Díaz-Pachón; Ola Hössjer (Entropy, 2022)

A Formal Framework for Knowledge Acquisition: Going beyond Machine Learning. - Ola Hössjer; Daniel Andrés Díaz-Pachón; J. Sunil Rao (Entropy, 2022)

Use of directed quasi-metric distances for quantifying the information of gene families. - Steinar Thorvaldsen; Ola Hössjer (Biosyst., 2024)

Is it possible to know cosmological fine-tuning? - Daniel Andrés Díaz-Pachón; Ola Hössjer; Calvin Mathew (CoRR, 2024)

Classification Under Partial Reject Options. - Måns Karlsson; Ola Hössjer (J. Classif., 2024)

Erratum: Classification Under Partial Reject Options. - Måns Karlsson; Ola Hössjer (J. Classif., 2024)

An Information Theoretic Approach to Prevalence Estimation and Missing Data. - Ola Hössjer; Daniel Andrés Díaz-Pachón; Chen Zhao; J. Sunil Rao (IEEE Trans. Inf. Theory, 2024)

Statistical learning does not always entail knowledge. - Daniel Andrés Díaz-Pachón; H. Renata Gallegos; Ola Hössjer; J. Sunil Rao (CoRR, 2025)