Research Output per year
Personal profile
Biography
Dr Gopalan Nair completed his undergraduate degree in Mathematics at Calicut University, India with Statistics and Physics as minor subjects. Subsequenlty he spent two years at the Tata Institute of Fundamental Research Centre at Bangalore, India as a research scholar. In 1989 he completed a PhD in the area of Mathematical Statistics at the University of Melbourne, Australia. He held academic positions at Auburn University, The University of Queensland, Curtin University of Technology, The University of California (Santa Barbara) and the National University of Singapore, before joining the University of Western Australia in 2008.
Roles and responsibilities
Honours Coordinator - Department of Mathematics and Statistics
Future research
Spatial Point process modeling and applications;
Analysis of point patterns on linear networks;
Combinatorial methods for M/G/1 type Queues
Engagement
Visiting Scientist
CSIRO
Floreat
WA
Teaching overview
2019
GENG5507: Risk, Reliability and Saftey
STAT3063: Spatial Statistical Modelling
Research
Spatial Point Process and applications
Queuing Theory
Time series & Financial modeling
Probability Theory
Queuing Theory
Time series & Financial modeling
Probability Theory
Languages
English
Malayalam
Kannada
and can manage some Tamil and Hindi.
Malayalam
Kannada
and can manage some Tamil and Hindi.
Keywords
- Probability theory
- Point processes
- Spatial processes
- Stochastic processes
- Queueing theory
- Stochastic financial modelling
Fingerprint Dive into the research topics where Gopalan Nair is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Point Process
Mathematics
Poisson Approximation
Mathematics
Quasi-stationary Distribution
Mathematics
Relative Risk
Mathematics
Random Time Change
Mathematics
Kernel Smoothing
Mathematics
Compensator
Mathematics
Burr Distribution
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1984 2019
A combinatorial analysis of the M/M [ m ] /1 queue
Mercankosk, G. & Nair, G. M., 3 Mar 2019, Developments in Mathematics. Springer, Vol. 58. p. 327-342 16 p. (Developments in Mathematics; vol. 58).Research output: Chapter in Book/Conference paper › Chapter
M/M/1 Queue
Combinatorial Analysis
P-matrix
Count
Matrix-geometric Method
Computation of Lacunarity from Covariance of Spatial Binary Maps
Hingee, K., Baddeley, A., Caccetta, P. & Nair, G., 15 Jun 2019, In : Journal of Agricultural, Biological, and Environmental Statistics. 24, 2, p. 264-288 25 p.Research output: Contribution to journal › Article
gliding
Language
Software
Missing Data
Binary
Efficient Code for Second Order Analysis of Events on a Linear Network
Rakshit, S., Baddeley, A. & Nair, G., Jul 2019, In : Journal of Statistical Software. 90, 1, p. 1-37 37 p.Research output: Contribution to journal › Article
Open Access
Estimation of relative risk for events on a linear network
Baddeley, A., Nair, G. & McSwiggan, G., 21 Aug 2019, In : Statistics and Computing. p. 1-16Research output: Contribution to journal › Article
Linear networks
Highway accidents
Relative Risk
Cross-validation
Neurons
4
Citations
(Scopus)
Fast Kernel Smoothing of Point Patterns on a Large Network using Two-dimensional Convolution
Rakshit, S., Davies, T., Moradi, M. M., McSwiggan, G., Nair, G., Mateu, J. & Baddeley, A., 6 Jun 2019, In : International Statistical Review.Research output: Contribution to journal › Article
Kernel Smoothing
Convolution
Relative Risk
Accidents
Adaptive Smoothing