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126. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
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130. Polya Urn Models
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131. Large Sample Techniques for Statistics
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132. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
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133. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
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134. Polya Urn Models
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137. Weak Convergence and Empirical Processes
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138. Large Sample Techniques for Statistics
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140. The Energy of Data and Distance Correlation
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141. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
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142. Model-Based Clustering, Classification, and Density Estimation Using McLust in R
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143. Measure-Valued Branching Markov Processes
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144. Multivariate Discrete Q-Distributions (Synthesis Lectures on Mathematics & Statistics)
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145. Large Sample Techniques for Statistics 2ed
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