All Stories

  1. Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra

    Article • Advanced Science, January 2019, Wiley

    Prof Aki Vehtari

  2. R-squared for Bayesian regression models

    Article • The American Statistician, December 2018, Taylor & Francis

    Prof Aki Vehtari

  3. User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction

    Article • March 2018, ACM (Association for Computing Machinery)

    Prof Aki Vehtari

  4. Growth factors and mortality

    Article • Journal of Internal Medicine, July 2017, Wiley

    Prof Aki Vehtari, Kristiina Santalahti

  5. The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective

    Article • Lifetime Data Analysis, June 2015, Springer Science + Business Media

    Prof Aki Vehtari

  6. Abstract P3-06-03: Quantitative p95HER2 and HER2 correlations with outcome in the FinHer trial

    Article • Cancer Research, April 2015, American Association for Cancer Research (AACR)

    Prof Aki Vehtari

  7. Expectation propagation for nonstationary heteroscedastic Gaussian process regression

    Article • September 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Aki Vehtari

  8. Comment

    Article • Journal of the American Statistical Association, July 2014, Taylor & Francis

    Prof Aki Vehtari

  9. Laplace Approximation for Logistic Gaussian Process Density Estimation and Regression

    Article • Bayesian Analysis, June 2014, Institute of Mathematical Statistics

    Prof Aki Vehtari

  10. Hierarchical second-order analysis of replicated spatial point patterns with non-spatial covariates

    Article • Spatial Statistics, May 2014, Elsevier

    Prof Aki Vehtari

  11. Gastrointestinal Stromal Tumor: A Method for Optimizing the Timing of CT Scans in the Follow-up of Cancer Patients

    Article • Radiology, April 2014, Radiological Society of North America (RSNA)

    Prof Aki Vehtari

  12. The Influence of Selective Participation in a Physical Activity Intervention on the Generalizability of Findings

    Article • Journal of Occupational and Environmental Medicine, March 2014, Wolters Kluwer Health

    Prof Aki Vehtari, Dr. Simo Taimela

  13. Errata: A survey of Bayesian predictive methods for model assessment, selection and comparison

    Article • Statistics Surveys, January 2014, Institute of Mathematical Statistics

    Prof Aki Vehtari

  14. Face-to-face information combined with a booklet versus a booklet alone for treatment of mild low-back pain: a randomized controlled trial

    Article • Scandinavian Journal of Work Environment & Health, November 2013, Scandinavian Journal of Work, Environment and Health

    Prof Aki Vehtari, Dr. Simo Taimela

  15. Understanding predictive information criteria for Bayesian models

    Article • Statistics and Computing, August 2013, Springer Science + Business Media

    Prof Aki Vehtari

  16. Finite Adaptation and Multistep Moves in the Metropolis-Hastings Algorithm for Variable Selection in Genome-Wide Association Analysis

    Article • PLoS ONE, November 2012, PLOS

    Prof Aki Vehtari

  17. The effectiveness of physical activity monitoring and distance counseling in an occupational setting – Results from a randomized controlled trial (CoAct)

    Article • BMC Public Health, May 2012, Springer Science + Business Media

    Prof Aki Vehtari, Dr. Simo Taimela

  18. Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER

    Article • NeuroImage, April 2012, Elsevier

    Prof Aki Vehtari

  19. One vs Three Years of Adjuvant Imatinib for Operable Gastrointestinal Stromal Tumor

    Article • JAMA, March 2012, American Medical Association (AMA)

    Prof Aki Vehtari

  20. Risk of recurrence of gastrointestinal stromal tumour after surgery: an analysis of pooled population-based cohorts

    Article • The Lancet Oncology, March 2012, Elsevier

    Prof Aki Vehtari

  21. Bayesian Variable Selection in Searching for Additive and Dominant Effects in Genome-Wide Data

    Article • PLoS ONE, January 2012, PLOS

    Prof Aki Vehtari

  22. A survey of Bayesian predictive methods for model assessment, selection and comparison

    Article • Statistics Surveys, January 2012, Institute of Mathematical Statistics

    Prof Aki Vehtari

  23. The effectiveness of two active interventions compared to self-care advice in employees with non-acute low back symptoms: a randomised, controlled trial with a 4-year follow-up in the occupational health setting

    Article • Occupational and Environmental Medicine, May 2011, BMJ

    Prof Aki Vehtari, Dr. Simo Taimela

  24. Explaining Classification by Finding Response-Related Subgroups in Data

    Article • June 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Aki Vehtari

  25. Fragmented QRS in Prediction of Cardiac Deaths and Heart Failure Hospitalizations after Myocardial Infarction

    Article • Annals of Noninvasive Electrocardiology, April 2010, Wiley

    Prof Aki Vehtari

  26. Approximate inference for disease mapping with sparse Gaussian processes

    Article • Statistics in Medicine, March 2010, Wiley

    Prof Aki Vehtari

  27. The effectiveness of physical activity monitoring and distance counselling in an occupational health setting - a research protocol for a randomised controlled trial (CoAct)

    Article • BMC Public Health, December 2009, Springer Science + Business Media

    Prof Aki Vehtari, Dr. Simo Taimela

  28. Analysing the length of care episode after hip fracture: a nonparametric and a parametric Bayesian approach

    Article • Health Care Management Science, November 2009, Springer Science + Business Media

    Prof Aki Vehtari

  29. Features and Metric from a Classifier Improve Visualizations with Dimension Reduction

    Article • January 2009, Springer Science + Business Media

    Prof Aki Vehtari

  30. A multi-metabolite analysis of serum by 1H NMR spectroscopy: Early systemic signs of Alzheimer’s disease

    Article • Biochemical and Biophysical Research Communications, October 2008, Elsevier

    Prof Aki Vehtari

  31. Automatic fMRI‐guided MEG multidipole localization for visual responses

    Article • Human Brain Mapping, May 2008, Wiley

    Prof Aki Vehtari

  32. Automatic relevance determination based hierarchical Bayesian MEG inversion in practice

    Article • NeuroImage, September 2007, Elsevier

    Prof Aki Vehtari

  33. CATS benchmark time series prediction by Kalman smoother with cross-validated noise density

    Article • Neurocomputing, August 2007, Elsevier

    Prof Aki Vehtari

  34. Exploring the lipoprotein composition using Bayesian regression on serum lipidomic profiles

    Article • Bioinformatics, July 2007, Oxford University Press (OUP)

    Prof Aki Vehtari

  35. A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data

    Article • BMC Bioinformatics, May 2007, Springer Science + Business Media

    Prof Aki Vehtari

  36. Hierarchical Bayesian estimates of distributed MEG sources: Theoretical aspects and comparison of variational and MCMC methods

    Article • NeuroImage, April 2007, Elsevier

    Prof Aki Vehtari

  37. Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles

    Article • Human Brain Mapping, March 2007, Wiley

    Prof Aki Vehtari

  38. Rao-Blackwellized particle filter for multiple target tracking

    Article • Information Fusion, January 2007, Elsevier

    Prof Aki Vehtari

  39. Bayesian analysis of the neuromagnetic inverse problem with ℓ-norm priors

    Article • NeuroImage, July 2005, Elsevier

    Prof Aki Vehtari

  40. Shape analysis of concrete aggregates for statistical quality modeling

    Article • Machine Vision and Applications, May 2005, Springer Science + Business Media

    Prof Aki Vehtari

  41. Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities

    Article • Neural Computation, October 2002, The MIT Press

    Prof Aki Vehtari

  42. Bayesian approach for neural networks—review and case studies

    Article • Neural Networks, April 2001, Elsevier

    Prof Aki Vehtari

  43. Bayesian MLP neural networks for image analysis

    Article • Pattern Recognition Letters, December 2000, Elsevier

    Prof Aki Vehtari

  44. Bayesian Neural Networks: Case Studies in Industrial Applications

    Article • January 2000, Springer Science + Business Media

    Prof Aki Vehtari

  45. On MCMC sampling in Bayesian MLP neural networks

    Article • January 2000, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Aki Vehtari

  46. Using Bayesian neural networks to classify forest scenes

    Article • October 1998, SPIE

    Prof Aki Vehtari

  47. Application of Bayesian neural network in electrical impedance tomography

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Aki Vehtari

  48. Bayesian neural networks with correlating residuals

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Aki Vehtari

  49. Bayesian neural networks for industrial applications

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Aki Vehtari

  50. Time series prediction by Kalman smoother with cross-validated noise density

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Aki Vehtari

  51. Time series prediction by Kalman smoother with cross-validated noise density

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Aki Vehtari