# Publications by James V. Zidek FRSC, O.C.

### 2002

Bayesian spatial prediction of random space-time fields with application to mapping PM2. 5 exposure. Journal of the American Statistical Association. Taylor and Francis; 2002; 97: 112–124. .

Combining sample information in estimating ordered normal means. Sankhy\=a: The Indian Journal of Statistics, Series A. 2002;: 588–610. .

The weighted likelihood. Canadian Journal of Statistics. Wiley Online Library; 2002; 30: 347–371. .

### 2001

Spatial prediction and temporal backcasting for environmental fields having monotone data patterns. Canadian Journal of Statistics. Wiley Online Library; 2001; 29: 529–554. .

The relevance weighted likelihood with applications. In Empirical Bayes and Likelihood Inference. Springer; 2001. pp. 211–235. .

Estimating one of two normal means when their difference is bounded. Statistics and probability letters. Elsevier; 2001; 51: 277–284. .

### 2000

Interpolating Vancouver's daily ambient PM10 field. Environmetrics. Wiley Online Library; 2000; 11: 651–663. .

Designing and integrating composite networks for monitoring multivariate Gaussian pollution fields. Journal of the Royal Statistical Society: Series C (Applied Statistics). Wiley Online Library; 2000; 49: 63–79. .

Relevance weighted likelihood for dependent data. Metrika. Springer; 2000; 51: 223–243. .

Discussion of ``The estimating function bootstrap'' (authors Hu, F. and Kalbfleisch, J.D.). Canadian Journal of Statistics. Statistical Science Association of Canada; 2000; 28: 482–484. .

A Bayesian Approach to Backcasting and Spatially Predicting Unmeasured Multivariate Random Space-Time Fields With Application to PM 2, 5. Vancover, BC: Department of Statistics, University of British Columbia; 2000. .

Combining statistical and computer models for health risk assessment (exposure analysis). In Statistical Modelling, Proceedings of the 15th International Workshop on Statistical Modelling: New Trends in Statistical Modelling. Universidad del Pais Vasco, Bilbao. 2000. pp. 95–106. .

### 1999

Discussion of ``Bayesian spatial prediction'' (authors Gaudard, N., Karson, M., Linder, E. and Sinha, D.). Environmental and Ecological Statistics. Springer; 1999; 6: 173–176. .

Minimax estimation of a bounded scale parameter for scale-invariant squared-error loss. Statistics and Risk Modeling. 1999; 17: 1–30. .

Decision theory for spatial competition. West Lafayette, Indiana: Department of Statistics, Purdue University; 1999. .

Measuring and modelling pollution for risk analysis. In Novartis Foundation Symposium 220-Environmental Statistics: Analysing Data for Environmental Policy. Wiley Online Library; 1999. pp. 105–121. .

Bayesian spatial interpolation and backcasting using Gaussian-generalized inverted Wishart model. Department of Statistics, University of British Columbia; 1999. .

### 1998

Imputing unmeasured explanatory variables in environmental epidemiology with application to health impact analysis of air pollution. Environmental and Ecological Statistics. Springer; 1998; 5: 99–105. .

A note on the existence of maximum likelihood estimates for Gaussian-inverted Wishart models. Statistics and probability letters. Elsevier; 1998; 40: 133–137. .

Assessment of a Bayesian multivariate interpolation approach for health impact studies. Environmetrics. Wiley Online Library; 1998; 9: 565–586. .

Including structural measurement errors in the nonlinear regression analysis of clustered data. Canadian Journal of Statistics. Wiley Online Library; 1998; 26: 537–548. .

Using spatial data in assessing the association between air pollution episodes and respiratory morbidity. Statistics for the Environment. 1998; 4: 117–136. .

### 1997

Bayesian multivariate spatial interpolation with data missing by design. Journal of the Royal Statistical Society: Series B (Statistical Methodology). Wiley Online Library; 1997; 59: 501–510. .

Interpolating air pollution for health impact assessment. Barnett V, Feridun Turkman K, editors. Statistics for the environment. 1997; 3: 251–68. .

Discussion of ``Predicting multivariate responses in multiple linear regression'' (Authors. Breiman, L. and Friedman, J.). Journal of the Royal Statistical Society, Series B. 1997; 59: 42–43. .

On segmented multivariate regression. Statistica Sinica. 1997;: 497–525. .

### 1996

Critique of ET Jaynes's "Paradoxes of probability theory". Department of Statistics, University College London; 1996. .

Causality, measurement error and multicollinearity in epidemiology. Environmetrics. London [Ont.]: Envirometrics Press, 1990-; 1996; 7: 441–451. .

### 1995

Incorporating relevant sample information using the likelihood. Vancouver, BC: Department of Statistics, University of British Columbia; 1995. .

Multivariate imputation in cross-sectional analysis of health effects associated with air pollution. Environmental and ecological statistics. Springer; 1995; 2: 191–212. .

A bootstrap based on the estimating equations of the linear model. Biometrika. Biometrika Trust; 1995; 82: 263–275. .

Bayesian multivariate spatial interpolation: application and assessment. Department of Statistics, University of British Columbia; 1995. .

### 1994

Group Bayes estimation of the exponential mean: a retrospective view of the Wald theory. In Statistical Decision Theory and Related Topics V. Springer; 1994. pp. 35–49. .

Network designs for monitoring multivariate random spatial fields. Recent advances in statistics and probability. VSP Zeist; 1994;: 191–206. .

Group-Bayes estimation of the exponential mean: A preposterior analysis. Test. Springer; 1994; 3: 125–143. .

Multivariate spatial interpolation and exposure to air pollutants. Canadian Journal of Statistics. Wiley Online Library; 1994; 22: 489–509. .

Aspects of uncertainty: a tribute to DV Lindley. In Inference for a covariance matrix. Chichester: Wiley; 1994. .

### 1993

Using prior information in designing intervention detection experiments. The Annals of Statistics. Institute of Mathematical Statistics; 1993; 21: 447–463. .

An approach to bootstrapping through estimating equations. Department of Statistics, University of British Columbia; 1993. .

A relevance weighted quantile estimator. Department of Statistics, University of British Columbia; 1993. .

Using Entropy in the Redesign of an Environmental Monitoring Network. . Multivariate Environmental Statistics; 1993. .

Hierarchical Bayesian analysis of a discrete time series of Poisson counts. Statistics and Computing. Springer; 1993; 3: 7–15. .

### 1992

Quality data network designs based on entropy. In: . Statistics in the environmental and earth sciences. London: Elsevier Science; 1992. pp. 10-38. .

Interpolation with uncertain spatial covariances: a Bayesian alternative to kriging. Journal of Multivariate Analysis. Elsevier; 1992; 43: 351–374. .

Multivariate spatial interpolation with Kronecker covariance structures. Department of Statistics, University of British Columbia, Vancouver; 1992. .

Bayesian predictive inference for samples from smooth processes. Bayesian Statistics. 1992; 4: 547–566. .

An entropy-based analysis of data from selected NADP/NTN network sites for 1983–1986. Atmospheric Environment. Part A. General Topics. Elsevier; 1992; 26: 2089–2103. .

Using entropy in the redesign of an environmental monitoring network. Vancouver: Department of Statistics. University of British Columbia; 1992. .