Berwin Turlach

Dr, DiplMath Bonn , DEAMath PhD Louvain-la-Neuve

  • The University of Western Australia (M019), 35 Stirling Highway,

    6009 Perth

    Australia

  • 1539 Citations
  • 13 h-Index
20002019
If you made any changes in Pure these will be visible here soon.

Personal profile

Keywords

  • Smoothing methods
  • Computational statistics
  • Statistical computing
  • Applied statistics
  • Statistical learning
  • Machine learning
  • Data mining
  • Analytics
  • Big data

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Monotone Mathematics
Polynomial Mathematics
Variable Selection Mathematics
Polynomials Engineering & Materials Science
Smoothing Splines Mathematics
Regression Mathematics
Splines Engineering & Materials Science
Parameterization Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2000 2019

A flexible sequential Monte Carlo algorithm for parametric constrained regression

Ng, K., Turlach, B. A. & Murray, K., 26 Mar 2019, In : Computational Statistics and Data Analysis. 138, p. 13-26 14 p.

Research output: Contribution to journalArticle

Sequential Monte Carlo
Sequential Algorithm
Monte Carlo Algorithm
Regression
Indicator function
2 Citations (Scopus)

Exercise-induced pulmonary haemorrhage in Thoroughbred racehorses: a longitudinal study

Crispe, E. J., Secombe, C. J., Perera, D. I., Manderson, A. A., Turlach, B. A. & Lester, G. D., Jan 2019, In : Equine Veterinary Journal. 51, 1, p. 45-51 7 p.

Research output: Contribution to journalArticle

racehorses
longitudinal studies
hemorrhage
Longitudinal Studies
exercise

Fitting monotone polynomials in mixed effects models

Bon, J. J., Murray, K. & Turlach, B. A., Jan 2019, In : Statistics and Computing. 29, 1, p. 79-98 20 p.

Research output: Contribution to journalArticle

Mixed Effects Model
Monotone
Polynomials
Polynomial
Mixed Effects
Open Access
Geography
Data Display
Agglomeration
Research Personnel
1 Citation (Scopus)

A general approach to generate random variates for multivariate copulae

Tajvidi, N. & Turlach, B. A., 1 Mar 2018, In : Australian and New Zealand Journal of Statistics. 60, 1, p. 140-155 16 p.

Research output: Contribution to journalArticle

Copula
Rectangle
Multivariate Extreme Value Distribution
Statistical Graphics
Statistical Computing

Projects 2001 2001