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Advanced Driver Intention Inference
Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely, the driver;
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Essentials of Statistical Inference
Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results;
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Essentials of Statistical Inference
Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results;
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Statistics for Astrophysics
This book contains statistics courses on basic to advanced methods with practical exercises using the R environment, by leading experts;
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Nonparametric Inference
, readers with an advanced calculus background will be comfortable with the material.;
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Probability and Statistical Inference
Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;
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Probability and Statistical Inference
Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;
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The Way Home Level 6 Advanced Book with Audio CDs (3) Pack
Award-winning original fiction for learners of English. At seven levels, from Starter to Advanced, this impressive selection of carefully;
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An Introduction to Bayesian Inference, Methods and Computation
, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be;
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Statistical Inference in Science
suitable text book for advanced undergraduate, Masters, and Ph.D. statistics students, it may also be used as a reference book.;
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Statistical Inference for Engineers and Data Scientists
with real-world applications, additional material to explore more advanced concepts, and numerous end-of-chapter problems to test the reader's;
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Statistical Inference in Science
suitable text book for advanced undergraduate, Masters, and Ph.D. statistics students, it may also be used as a reference book.;
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Statistical Inference
More examples and exercises More comparison between the approaches, including their similarities and differences Designed for advanced;
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Right Turn
Right Turn Provides The latest advances in driver education policies, procedures and driving techniques for drivers of all ages and;
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Right Turn
Right Turn Provides The latest advances in driver education policies, procedures and driving techniques for drivers of all ages and;
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Aspects of Statistical Inference
draw conclusions from data is fundamental to mastering statistics. Aspects of Statistical Inference equips advanced undergraduate and graduate;
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Introduction to the Theory of Statistical Inference
frequently misunderstood problems are marked The book is aimed at advanced undergraduate students, graduate students in mathematics and;
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Introduction to the Theory of Statistical Inference
frequently misunderstood problems are marked The book is aimed at advanced undergraduate students, graduate students in mathematics and statistics;
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Artificial Intelligence
While assuming no prior knowledge of AI or logic, this book provides an introduction to many of the most advanced developments in AI, as;
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Intention and Practical Thought
alternative to any theory postulating actions as irreducible entities metaphysically. The author's account presents intention as states irreducible to;
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Kendalls Advanced Theory of Statistic 2B
Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development of modern statistical theory in the past;
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From Finite Sample To Asymptotic Methods In Statistics
textbook for advanced undergraduate or beginning graduate students in statistics, biostatistics, or applied statistics but may also be used as a;
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Inference for Functional Data with Applications
frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self;
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Likelihood & Bayesian Inference
methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model;
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Likelihood and Bayesian Inference
methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model;
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