All Stories

  1. Some mathematical issues regarding a new approach toward quantum foundations
  2. Quantum Probability for Statisticians: Some New Ideas
  3. On Science, Faith, Quantum Theory, and Decisions
  4. The weakest possible simple foundation behind the quantum formulation.
  5. On Optimal Linear Prediction
  6. On probabilities in quantum mechanics
  7. A simple quantum foundation and its consequences
  8. Foundation of quantum mechanics
  9. Quantum mechanics as a theory that is consistent with the existence of God
  10. A simple formula for a probability related to disjoint placements
  11. Correction to: On reconstructing parts of quantum theory from two related maximal conceptual variables. (Intern. J. Theor. Phys. 61, 69, 2022.)
  12. A simple way to understand the bases of quantum theory and quantum decision theory.
  13. Understanding the Bell experiment.
  14. On reconstructing quantum mechanics
  15. God and quantum foundation
  16. Epistemic Processes
  17. Erratum: “Symmetry in a space of conceptual variables” [J. Math. Phys. 60(5), 052101 (2019)]
  18. Symmetry and the Hilbert space basis of quantum theory
  19. Model and estimators for partial least squares regression
  20. Epistemic Processes
  21. simrel — A versatile tool for linear model data simulation based on the concept of a relevant subspace and relevant predictors
  22. The quantum formulation derived from assumptions of epistemic processes
  23. Envelopes and Partial Least Squares Regression
  24. Near Optimal Prediction from Relevant Components
  25. Steps Towards a Unified Basis for Scientific Models and Methods
  26. A foundation of quantum mechanics based on focusing and symmetry
  27. Quantum Mechanics from Focusing and Symmetry
  28. Statistical Inference under Symmetry
  29. Extended statistical modeling under symmetry; the link toward quantum mechanics
  30. Quantum theory as a statistical theory under symmetry
  31. Discussion on the Paper by Barndorff-Nielsen, Gill and Jupp
  32. Rotational symmetry, model reduction and optimality of prediction from the PLS population model
  33. Some theoretical aspects of partial least squares regression
  34. Model Reduction for Prediction in Regression Models
  35. A Population Approach to Analysis of Variance Models
  36. Letters to the Editor
  37. Simple Counterexamples against the Conditionality Principle
  38. Related versions of the multiplicative scatter correction method for preprocessing spectroscopic data
  39. Comparison of Prediction Methods when Only a Few Components are Relevant
  40. Chisquare Tests From Clusters of Observations
  41. Modelling bark beetle flight: a review
  42. On the structure of partial least squares regression
  43. On the Interpretation and Use of R 2 in Regression Analysis
  44. Attraction of bark beetles (Coleoptera: Scolytidae) to a pheromone trap Experiment and mathematical models
  45. Attraction of bark beetles (Coleoptera: Scolytidae) to a pheromone trap
  46. Diffusion models for the dispersal of insects near an attractive center
  47. Convergence to diffusions with regular boundaries
  48. On weak convergence to Brownian motion
  49. Continuity of a class of random time transformations