Contents -- Preface -- An Interview with Professor Yaoting Zhang -- Growing Up -- Professor Paolu Hsu and Statistics -- During the 'Culture Revolution' -- After 'Culture Revolution' -- I am Proud of My Students -- Significance Level in Interval Mapping -- 1. Introduction -- 2. Known Results -- 3. A Combined Approximation -- 4. The Interval Mapping Process in the Gaussian Limit -- 5. Likelihood Ratio Transformation -- 6. Rice-Davies Approximation -- 7. Evaluation of (9) -- 8. Remarks -- References -- An Asymptotic Pythagorean Identity -- 1. Introduction -- 2. Pythagorean Identity for Variance Calculation -- 3. Examples -- 4. Remarks -- References -- A Monte Carlo Gap Test in Computing HPD Regions -- 1. Introduction -- 2. Current Monte Carlo Methods -- 3. Monte Carlo Gap Tests -- 4. A Simulation Study -- 5. Concluding Remarks -- References -- Estimating Restricted Normal Means Using the EM-type Algorithms and IBF Sampling -- 1. Introduction -- 2. Nonproduct versus Product Parameter Space -- 3. Estimation When Variances Are Known -- 4. Estimation when variances are Unknown -- 5. Applications -- 6. Discussion -- References -- An Example of Algorithm Mining: Covariance Adjustment to Accelerate EM and Gibbs -- 1. An Overview -- 2. The Student-t Distribution -- 3. The EM Algorithm -- 4. The DA Algorithm -- 5. The PX-EM Algorithm -- 6. The PX-DA Algorithm -- 7. The CA-DA Algorithm -- 8. Discussion -- References -- Large Deviations and Deviation Inequality for Kernel Density Estimator in L1(RD)-distance -- 1. Introduction -- 2. Main Results -- 3. Proofs of the Main Results -- References -- Local Sensitivity Analysis of Model Misspecification -- 1. Introduction -- 2. A Tubular Class of Surrounding Models -- 3. Bias and Score Basis -- 4. Comments -- References.

Empirical Likelihood Confidence Intervals for the Difference of Two Quantiles of a Population -- 1. Introduction -- 2. Main Results -- 3. A Simulation Study -- 4. Proofs of Theorems 2.1 and 2.2 -- References -- Exponential Inequalities for Spatial Processes and Uniform Convergence Rates for Density Estimation -- 1. Introduction -- 2. Exponential Type Inequalities -- 3. Density Estimation for Spatial Processes -- References -- A Skew Regression Model for Inference of Stock Volatility -- 1. Introduction -- 2. A Skew Normal Regression Model -- 3. Inference of the Volatility Parameter B -- References -- Explicit Transitional Dynamics in Growth Models -- 1. Introduction -- 2. U-P Pairs in Discrete Time Framework -- 3. Continuous Time Framework -- 4. More on Continuous Time Framework -- 5. Continuous Time Stochastic Models -- 6. Conclusion -- References -- A Fiscal Federalism Approach to Optimal Taxation and Intergovernmental Transfers in a Dynamic Model -- 1. Introduction -- 2. The Framework -- 3. The Stackelberg Game between the Federal Government and Local Government -- 4. Summary -- References -- Sharing Catastrophe Risk under Model Uncertainty -- 1. Introduction -- 2. Empirical Observations about Pricing of Catastrophe Risk -- 3. A Simple Model of Risk Sharing -- 4. Risk Premium of Catastrophic Events -- 5. Uncertainty Premium of Catastrophic Events -- 6. Why Uncertainty Premium is High for Catastrophic Events? -- 7. Conclusion -- References -- Ranked Set Sampling: A Methodology for Observational Economy -- 1. Introduction -- 2. Ranked Set Sampling and Its Basic Properties -- 3. Ranked Set Sampling with Concomitant Variables -- 4. Design with Observational Data -- 5. Ranked Set Sampling and Data Mining -- References -- Some Recent Advances on Response-Adaptive Randomized Designs -- 1. Introduction -- 2. Optimal Allocation.

3. Adaptive Designs -- 4. Some Further Topics and Discussions -- References -- A Childhood Epidemic Model with Birthrate-Dependent Transmission -- 1. Introduction -- 2. The Effect of Birth Rate -- 3. Estimation of the Model -- 4. Signatures of Measles Dynamics -- 5. Conclusions -- References -- Linear Regression Analysis with Observations Subject to Interval Censoring -- 1. Introduction -- 2. Data and Model -- 3. Least-square Estimation -- 4. Non-parametric Estimation -- 5. Application and Conclusion -- References -- When Can the Haseman-Elston Procedure for Quantitative Trait Loci be improved? Insights from Optimal Design Theory -- 1. Introduction -- 2. The Optimal Design for the Haseman-Elston Procedure -- 3. Power Comparison -- 4. Discussion -- References -- A Semiparametric Method for Mapping Quantitative Trait Loci -- 1. Introduction -- 2. The LR Test for Linkage Based on Semiparametric Normal Copula Distributions -- 3. Discussion -- References -- Structure Mixture Regression Models -- 1. Introduction -- 2. Structure Mixture Regression Models -- 3. Main Results -- 4. Discussion -- References.