| Sequential experiment design for contour estimation from complex computer codes P Ranjan, D Bingham, G Michailidis Technometrics 50 (4), 527-541, 2008 | 353 | 2008 |
| A computationally stable approach to Gaussian process interpolation of deterministic computer simulation data P Ranjan, R Haynes, R Karsten Technometrics 53 (4), 366-378, 2011 | 160 | 2011 |
| Modeling an augmented Lagrangian for blackbox constrained optimization RB Gramacy, GA Gray, S Le Digabel, HKH Lee, P Ranjan, G Wells, ... Technometrics 58 (1), 1-11, 2016 | 158 | 2016 |
| GPfit: An R package for fitting a Gaussian process model to deterministic simulator outputs B MacDonald, P Ranjan, H Chipman Journal of Statistical Software 64 (i12), 2015 | 121 | 2015 |
| Design of computer experiments for optimization, estimation of function contours, and related objectives D Bingham, P Ranjan, WJ Welch Statistics in Action: A Canadian Outlook 109, 2014 | 30 | 2014 |
| Sequential design for computer experiments with a flexible Bayesian additive model H Chipman, P Ranjan, W Wang Canadian Journal of Statistics 40 (4), 663-678, 2012 | 27 | 2012 |
| A new Bayesian ensemble of trees approach for land cover classification of satellite imagery R Agarwal, P Ranjan, H Chipman Canadian Journal of Remote Sensing 39 (6), 507-520, 2014 | 23 | 2014 |
| Valuation of patents in emerging economies: a renewal model-based study of Indian patents MS Danish, P Ranjan, R Sharma Technology Analysis & Strategic Management, 2020 | 21 | 2020 |
| Efficient optimization of the likelihood function in Gaussian process modelling A Butler, RD Haynes, TD Humphries, P Ranjan Computational statistics & data analysis 73, 40-52, 2014 | 21 | 2014 |
| Follow-up experimental designs for computer models and physical processes P Ranjan, W Lu, D Bingham, S Reese, BJ Williams, CC Chou, F Doss, ... Journal of Statistical Theory and Practice 5 (1), 119-136, 2011 | 19 | 2011 |
| Space-filling Latin hypercube designs based on randomization restrictions in factorial experiments P Ranjan, N Spencer Statistics & Probability Letters 94, 239-247, 2014 | 18 | 2014 |
| A short note on Gaussian process modeling for large datasets using graphics processing units M Franey, P Ranjan, H Chipman arXiv preprint arXiv:1203.1269, 2012 | 18 | 2012 |
| GPfit: an R package for Gaussian process model fitting using a new optimization algorithm B MacDonald, P Ranjan, H Chipman arXiv preprint arXiv:1305.0759, 2013 | 17 | 2013 |
| Branch and bound algorithms for maximizing expected improvement functions M Franey, P Ranjan, H Chipman Journal of statistical planning and inference 141 (1), 42-55, 2011 | 17 | 2011 |
| Local Gaussian process model for large-scale dynamic computer experiments R Zhang, CD Lin, P Ranjan Journal of Computational and Graphical Statistics 27 (4), 798-807, 2018 | 16 | 2018 |
| Inverse problem for time-series valued computer model via scalarization P Ranjan, M Thomas, H Teismann, S Mukhoti arXiv preprint arXiv:1605.09503, 2016 | 16 | 2016 |
| -SELC: Optimization by sequential elimination of level combinations using genetic algorithms and Gaussian processes A Mandal, P Ranjan, CFJ Wu | 16 | 2009 |
| Existence and construction of randomization defining contrast subspaces for regular factorial designs P Ranjan, DR Bingham, AM Dean The Annals of Statistics 37 (6A), 3580-3599, 2009 | 15 | 2009 |
| A history matching approach for calibrating hydrological models NV Bhattacharjee, P Ranjan, A Mandal, EW Tollner Environmental and Ecological Statistics 26 (1), 87-105, 2019 | 11* | 2019 |
| Gaussian Process Models and Interpolators for Deterministic Computer Simulators P Ranjan, R Haynes, R Karsten arXiv:1003.1315v2, 2010 | 10 | 2010 |
Hugh ChipmanProfessor of Statistics, Acadia UniversityVerified email at acadiau.ca
