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003			OSt
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008			220909b |||||||| |||| 00| 0 eng d
020			_a9780444537324
040			_aCSL _beng _cCSL
041			_aeng
084			_aB288 Q1 TB _qCSL
100			_aRao, C.R. _eauthor. _9233584
245		0	_aEssential Bayesian Models
260			_aAmsterdam : _bElsevier, _c2011.
300			_axii, 574p.
500			_aIncludes Bibliographical References and Subject Index 559-574p.
520			_aThis accessible reference includes selected contributions from Bayesian Thinking - Modeling and Computation, Volume 25 in the Handbook of Statistics Series, with a focus on key methodologies and applications for Bayesian models and computation. It describes parametric and nonparametric Bayesian methods for modeling, and how to use modern computational methods to summarize inferences using simulation. The book covers a wide range of topics including objective and subjective Bayesian inferences, with a variety of applications in modeling categorical, survival, spatial, spatiotemporal, Epidemiological, small area and micro array data. Aids critical thinking on causal effects Provides simulation based computing techniques Covers Bioinformatics and Biostatistics.
650			_aBayesian statistical decision theory. _9814338
650			_aMonte Carlo methods. _9714969
650			_aStatistics.
700			_aDey, Dipak K _eauthor. _9815817
942			_hB288 Q1 TB _cTB _2CC _n0
999			_c5898 _d5898