Chapman & Halll/CRC monographs on statistics & applied probability
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Part Part I -- chapter 1 LARGE COVARIANCE MATRIX I -- chapter 2 LARGE COVARIANCE MATRIX II -- chapter 3 LARGE AUTOCOVARIANCE MATRIX -- part Part II -- chapter 4 SPECTRAL DISTRIBUTION -- chapter 5 NON-COMMUTATIVE PROBABILITY -- chapter 6 GENERALIZED COVARIANCE MATRIX I -- chapter 7 GENERALIZED COVARIANCE MATRIX II -- part Part III -- chapter 8 SPECTRA OF AUTOCOVARIANCE MATRIX I -- chapter 9 SPECTRA OF AUTOCOVARIANCE MATRIX II -- chapter 10 GRAPHICAL INFERENCE -- chapter 11 TESTING WITH TRACE.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Large Covariance and Autocovariance Matrices brings together a collection of recent results on sample covariance and autocovariance matrices in high-dimensional models and novel ideas on how to use them for statistical inference in one or more high-dimensional time series models. The prerequisites include knowledge of elementary multivariate analysis, basic time series analysis and basic results in stochastic convergence.Arup Bose is a professor at the Indian Statistical Institute, Kolkata, India. He is a distinguished researcher in mathematical statistics and has been working in high-dimensional random matrices for the last fifteen years. He has been editor of Sankhy? for several years and has been on the editorial board of several other journals. He is a Fellow of the Institute of Mathematical Statistics, USA and all three national science academies of India, as well as the recipient of the S.S. Bhatnagar Award and the C.R. Rao Award. His first book Patterned Random Matrices was also published by Chapman & Hall. He has a forthcoming graduate text U-statistics, M-estimates and Resampling (with Snigdhansu Chatterjee) to be published by Hindustan Book Agency. Monika Bhattacharjee is a post-doctoral fellow at the Informatics Institute, University of Florida. After graduating from St. Xavier's College, Kolkata, she obtained her master's in 2012 and PhD in 2016 from the Indian Statistical Institute. Her thesis in high-dimensional covariance and auto-covariance matrices, written under the supervision of Dr. Bose, has received high acclaim.Part I is on different methods of estimation of large covariance matrices and auto-covariance matrices and properties of these estimators. Part II covers the relevant material on random matrix theory and non-commutative probability. Part III provides results on limit spectra and asymptotic normality of traces of symmetric matrix polynomial functions of sample auto-covariance matrices in high-dimensional linear time series models. These are used to develop graphical and significance tests for different hypotheses involving one or more independent high-dimensional linear time series. The book should be of interest to people in econometrics and statistics (large covariance matrices and high-dimensional time series), mathematics (random matrices and free probability) and computer science (wireless communication) Parts of it can be used in post-graduate courses on high-dimensional statistical inference, high-dimensional random matrices and high-dimensional time series models. It should be particularly attractive to researchers developing statistical methods in high-dimensional time series models.
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Large covariance and autocovariance matrices.
شماره استاندارد بين المللي کتاب و موسيقي
9781138303867
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Analysis of covariance.
موضوع مستند نشده
Matrices.
موضوع مستند نشده
Analysis of covariance.
موضوع مستند نشده
MATHEMATICS / Algebra / Intermediate
موضوع مستند نشده
Matrices.
مقوله موضوعی
موضوع مستند نشده
MAT-- 002040
موضوع مستند نشده
PBT
رده بندی ديویی
شماره
512
.
9/434
ويراست
23
رده بندی کنگره
شماره رده
QA188
نشانه اثر
.
B6735
2018eb
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )