Model‐based Bayesian inference under computer assisted balance‐improving designs von Zhang, Junni L., Johansson, Per

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Subgroup balancing propensity score von Dong, Jing, Zhang, Junni L, Zeng, Shuxi, Li, Fan

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Estimation of Causal Effects via Principal Stratification When Some Outcomes Are Truncated by "Death" von Zhang, Junni L., Rubin, Donald B.

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Fully Bayesian Benchmarking of Small Area Estimation Models von Zhang, Junni L., Bryant, John

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Likelihood-Based Analysis of Causal Effects of Job-Training Programs Using Principal Stratification von Zhang, Junni L., Rubin, Donald B., Mealli, Fabrizia

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Distillation of News Flow Into Analysis of Stock Reactions von Zhang, Junni L., Härdle, Wolfgang K., Chen, Cathy Y., Bommes, Elisabeth

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BAYESIAN FORECASTING OF DEMOGRAPHIC RATES FOR SMALL AREAS: EMIGRATION RATES BY AGE, SEX, AND REGION IN NEW ZEALAND, 2014-2038 von Bryant, John, Zhang, Junni L.

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Combining multiple imperfect data sources for small area estimation: a Bayesian model of provincial fertility rates in Cambodia von Zhang, Junni L., Bryant, John

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The Bayesian Additive Classification Tree applied to credit risk modelling von Zhang, Junni L., Härdle, Wolfgang K.

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Evaluating the effects of job training programs on wages through principal stratification von Zhang, Junni L., Rubin, Donald B., Mealli, Fabrizia

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Comparative investigation of three Bayesian p values von Zhang, Junni L.

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Independent Particle Filters von Lin, Ming T, Zhang, Junni L, Cheng, Qiansheng, Chen, Rong

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Comparative investigation of three Bayesian pp values von Zhang, Junni L

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Bayesian small area demography von Zhang, Junni L, Bryant, John, Nissen, Kirsten

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A Two-stage Inference Procedure for Sample Local Average Treatment Effects in Randomized Experiments von Zhong, Zhen, Johansson, Per, Zhang, Junni L

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How big does a population need to be before demographers can ignore individual-level randomness in demographic events? von Bryant, John, Kukutai, Tahu, Zhang, Junni L

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A new sequential importance sampling method and its application to the two-dimensional hydrophobic–hydrophilic model von Zhang, Junni L., Liu, Jun S.

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Inference of Sample Complier Average Causal Effects in Completely Randomized Experiments von Zhong, Zhen, Johansson, Per, Zhang, Junni L

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Inference of Sample Complier Average Causal Effects under Experiments with Completely Randomized Design and Computer Assisted Balance-Improving Designs von Zhong, Zhen, Johansson, Per, Zhang, Junni L

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A Comparison of Methods of Inference in Randomized Experiments from a Restricted Set of Allocations von Zhang, Junni L, Johansson, Per

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