| 000 | 01354cam a2200313 a 4500 | ||
|---|---|---|---|
| 999 |
_c3232 _d3232 |
||
| 001 | 17186028 | ||
| 003 | OSt | ||
| 005 | 20250224165746.0 | ||
| 008 | 120228s2012 nju b 001 0 eng | ||
| 010 | _a 2012007007 | ||
| 020 | _a9781118332573 (pbk.) | ||
| 040 |
_aKyUL _cKyUL _dDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA 279.5 _b.L44 2012 |
| 082 | 0 | 0 |
_aQA 279.5 .L44 2012 _223 |
| 084 |
_aMAT029010 _2bisacsh |
||
| 100 | 1 | _aLee, Peter M. | |
| 245 | 1 | 0 |
_aBayesian statistics : _ban introduction / _cPeter M. Lee. |
| 250 | _a4th ed. | ||
| 260 |
_aChichester, West Sussex ; _aHoboken, N.J. : _bWiley, _c2012. |
||
| 300 |
_axxiii, 462 p. ; _c23 cm. |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 |
_a"- Presents extensive examples throughout the book to complement the theory presented.Includes significant new material on recent techniques such as variational methods, importance sampling, approximate computation and reversible jump MCMC"-- _cProvided by publisher. |
||
| 650 | 0 |
_aBayesian statistical decision theory. _2Statistics _xSchool of Pure and Applied Sciences |
|
| 650 | 7 |
_aMATHEMATICS / Probability & Statistics / Bayesian Analysis. _2bisacsh |
|
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 942 |
_2lcc _cLLB |
||