Publications by James V. Zidek FRSC, O.C.
Submitted
. Spatio-temporal downscaling for continental scale estimation of air pollution concentrations. Journal of the Royal Statistical Society: Series C. Submitted;.
2020
. Approximately Optimal Spatial Design: How Good is it?. Spatial Statistics. 2020;:To appear.
2019
. Determinental point processes stochastic approximation for combinatorial optimization. Optimization Letters. 2019;.
. A General Theory for Preferential Sampling in Environmental Networks. Annals of Applied Statistics. 2019;:Accepted.
. Bayesian analysis of accumulated damage models in lumber reliability. Technometrics. 2019;61:1-14.
. The duration of load effect in lumber as stochastic degradation. IEEE Transactions on Reliability. 2019;:410-419.
. Sequential decision model for inference and prediction on non-uniform hypergraphs with application to knot matching from computational forestry. Annals of Applied Statistics. 2019;13:1678-1707 .
2018
. Dimensional and statistical foundations for accumulated damage models. Wood Science and Technology. 2018;52:45-65.
. Using artificial censoring to improve extreme tail quantile estimates. Applied Statistics. 2018;:Accepted Dec 4, 2017.
. Data Integration Model for Air Quality: A HierarchicalApproach to the Global Estimation of Exposures to Ambient Air Pollution. Applied Statistics. 2018;67:231-253.
. Subset selection procedures with an application to lumber strength properties. Sanhkya Ser B. 2018;80:146-172.
. Design of Monitoring Networks using k-Determinantal Point Processes. Environmetrics. 2018;29:Accepted Oct 14, 2017.
. Statistical challenges in assessing the engineering properties of forest products. Annual review of statistics and its application - invitation only. 2018;5:237-264.
. Bayesian subset selection procedures with an application to lumber strength properties. Sankhya Ser A. 2018;:Accepted Aug 08, 2018.
2017
. Sequential graph matching with sequential monte carlo. . 20th International Conference on Artificial Intelligence and Statistics. Fort Lauderdale, Florida: AISTATS; 2017.
. Spatio-temporal modelling of temperature fields in the Pacific Northwest. Environmetrics. 2017;:Resubmitted.
2016
. Wood Property Relationships and Survival Models in Reliability. Applied Stochastic Models in Business and Industry. 2016;32:792-803.
. Bayesian Data Fusion Approaches to Predicting Spatial Tracks: Application to Marine Mammals. Annals of Applied Statistics. 2016;:Accepted.
. Mitigating the effects of preferentially selected monitoring sites for environmental policy and health risk analysis. Spatial and Spatio-temporal epidemiology. 2016;18:44-52.
. Estimating the damage caused by proof loading lumber products. 2016 . Report No.: 277.
2015
. Discussion of ``Optimal design in geostatistics under preferential sampling '' Ferreira and Gamerman. Bayesian Analysis. International Society for Bayesian Analysis; 2015;10:749–752.
. Spatio-Temporal Methods in Environmental Epidemiology. CRC Press; 2015.
. Hypothesis testing in the presence of multiple samples under a density ratio model. Statistica Sinica. 2015;:Accepted.
. Quantifying uncertainty in lumber grading and strength prediction: a Bayesian approach. Technometrics. Taylor and Francis; 2015;58:236-243.
. incorporating high-dimensional exposure modelling into studies of air pollution and health. Statistics in Biosciences. 2015;:Accepted.
. Bias correction and uncertainty characterization of Dead-Reckoned paths of marine mammals. Animal Biotelemetry. BioMed Central; 2015;3:1.
2014
. A case study in preferential sampling: Long term monitoring of air pollution in the UK. Spatial Statistics. Elsevier; 2014;9:51–65.
. Reducing estimation bias in adaptively changing monitoring networks with preferential site selection. The Annals of Applied Statistics. Institute of Mathematical Statistics; 2014;8:1640–1670.
. Statistical modeling and forecasting of fruit crop phenology under climate change. Environmetrics. Wiley Online Library; 2014;25:621–629.
. Bayesian melding of the dead-reckoned path and GPS measurements for an accurate and high-resolution path of marine mammals. arXiv preprint arXiv:1411.6683. 2014.
2013
. Property Modeling of Changbai Larch Veneers in Relation to Stand and Tree Variables. Vancouver, BC: Department of Statistics, University of British Columbia; 2013.
. Hypothesis testing in the presence of multiple samples under density ratio models. Statistica Sinica. 2013;:To appear.
2012
. Multiagent estimators of an exponential mean. In Contemporary Developments in Bayesian Analysis and Statistical Decision Theory: A Festschrift for William E. Strawderman. Institute of Mathematical Statistics; 2012. pp. 131–153.
. Combining data and simulated data for space–time fields: application to ozone. Environmental and ecological statistics. Springer; 2012;19:37–56.
. Unbiasing estimates from preferentially sampled spatial data. Vancouver, BC: Department of Statistics, University of British Columbia; 2012.
. Time-varying markov models for binary temperature series in agrorisk management. Journal of agricultural, biological, and environmental statistics. Springer; 2012;17:283–305.
. Subset selection–extended Rizvi–Sobel for unequal sample sizes and its implementation. Journal of Nonparametric Statistics. Taylor and Francis; 2012;24:299–315.
. Unbiasing estimates from preferentially sampled spatial data. Relatorio Technico. 2012;268.
. Stochastic models for the effects of duration of load on lumber properties. Vancouver, BC: Department of Statistics, University of British Columbia; 2012.
. Efficient stabilization of crop yield prediction in the Canadian Prairies. Agricultural and forest meteorology. Elsevier; 2012;152:223–232.
. Contemporary Developments in Bayesian Analysis and Statistical Decision Theory: A Festschrift for William E. Strawderman. In: . Institute of Mathematical Statistics Collections; 2012. pp. 131-153.
. Modeling nonstationary processes through dimension expansion. Journal of the American Statistical Association. Taylor and Francis; 2012;107:281–289.
. Preferential sampling in long term monitoring of air pollution: a case study. Vancouver, BC: Department of Statistics, University of British Columbia; 2012.
. Temporal forecasting with a Bayesian spatial predictor: Application to ozone. Advances in Meteorology. Hindawi Publishing Corporation; 2012;2012.
. Likelihood With Applications. Empirical Bayes and Likelihood Inference. Springer Science and Business Media; 2012;148:211.
. A review of dynamic duration of load models for lumber strength. Vancouver, BC: Department of Statistics, University of British Columbia; 2012.
2011
. An empirical assessment of bayesian melding for mapping ozone pollution. Environmetrics. Wiley Online Library; 2011;22:340–353.
2010
. Predicting Sequences of Progressive Events Times with Time-dependent Covariates. Vancouver, BC: Department of Statistics, University of British Columbia; 2010.
. Predicting phenological events using event-history analysis. Vancouver, BC: Department of Statistics, University of British Columbia; 2010.
. Monitoring network design. Handbook of Spatial Statistics. CRC Press PJ Diggle, M. Fuentes, and P. Guttorp, Boca Raton, FL; 2010;:131–148.