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  1. No Access

    Article

    Asymptotic equivalence between frequentist and Bayesian prediction limits for the Poisson distribution

    Bayesian prediction limits are constructed based on some maximum allowed probability of wrong prediction. However, the frequency of wrong prediction in a long run often exceeds this probability. The literature...

    Valbona Bejleri, Luca Sartore… in Journal of the Korean Statistical Society (2022)

  2. No Access

    Chapter and Conference Paper

    A Hierarchical Bayesian Beta-Binomial Model for Sub-areas

    Many population-based surveys have binary responses from a large number of individuals in each household within small areas. An example is the second Nepal Living Standards Survey (NLSS II), in which binary da...

    Lu Chen, Balgobin Nandram in Applied Statistical Methods (2022)

  3. No Access

    Chapter and Conference Paper

    Bayesian Order-Restricted Inference of Multinomial Counts from Small Areas

    Body mass index (BMI) can be a useful indicator of health status, and people can fall in different cells. Estimating BMI cell probabilities for small areas can be difficult, due to a lack of available data fro...

    **nyu Chen, Balgobin Nandram in Applied Statistical Methods (2022)

  4. No Access

    Chapter

    Bayesian Inference of a Finite Population Mean Under Length-Biased Sampling

    We present a robust Bayesian method to analyze forestry data when samples are selected with probability proportional to length from a finite population of unknown size. Specifically, by using Bayesian predicti...

    Zhiqing Xu, Balgobin Nandram… in Statistical Methods and Applications in Fo… (2020)

  5. No Access

    Article

    Benchmarking a triplet of official estimates

    The publication of official statistics at different levels of aggregation requires a benchmarking step. Difficulties arise when a benchmarking method needs to be applied to a triplet of related estimates, at m...

    Andreea L. Erciulescu, Nathan B. Cruze… in Environmental and Ecological Statistics (2018)

  6. No Access

    Article

    A hierarchical Bayesian model for forecasting state-level corn yield

    Historically, the National Agricultural Statistics Service crop forecasts and estimates have been determined by a group of commodity experts called the Agricultural Statistics Board (ASB). The corn yield forec...

    Balgobin Nandram, Emily Berg, Wendy Barboza in Environmental and Ecological Statistics (2014)

  7. No Access

    Article

    A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys

    Forecasting the end-of-year crop yield is critical for agricultural decision-making and inherently difficult. Historically, a panel of commodity specialists known as the Agricultural Statistics Board convene r...

    Jianqiang C. Wang, Scott H. Holan… in Journal of Agricultural, Biological, and E… (2012)

  8. No Access

    Article

    An empirical bayes estimator of seismic events using wavelet packet bases

    An empirical Bayes (EB) estimator is constructed to denoise a time series containing quarry blasts in New England. This estimator is portable and can be used more generally to denoise seismic events. The EB es...

    Paul Gendron, Balgobin Nandram in Journal of Agricultural, Biological, and E… (2001)

  9. No Access

    Chapter and Conference Paper

    Bayesian Inference for the Best Ordinal Multinomial Population in a Taste Test

    Sensory experiments are used by industries to select the best product out of a set of similar products. In a taste-testing experiment 36 panelists were asked to rate 11 entrees of a military ration on a 9-poin...

    Balgobin Nandram in Case Studies in Bayesian Statistics (1997)