PHP and MySQL Recipes, 2nd Edition

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1. Book Description
   
2. This book is a source of instant solutions, including countless pieces of useful code that you can copy and paste into your own applications, giving you answers fast and saving you hours of coding time. You can also use this book as a reference to the most important aspects of the latest PHP scripting language, including the vital functions you know and love from previous versions of PHP, as well as the functions introduced in PHP 7.
   
3. 
   
4. PHP and MySQL Recipes: A Problem-Solution Approach supplies you with complete code for all of the common coding problems you are likely to face when using PHP and MySQL together in your day-to-day web application development. This invaluable guide includes over 200 recipes and covers numerous topics. What you hold in your hands is the answer to all your PHP 7 needs.
   
5. 
   
6. Furthermore, this book explains the PHP functionality in detail, including the vastly improved object-oriented capabilities and the new MySQL database extension. PHP and MySQL Recipes will be a useful and welcome companion throughout your career as a web developer, keeping you on the cutting edge of PHP development, ahead of the competition, and giving you all the answers you need, when you need them.

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• Stochastic Volatility (SV) Models using R.pdf (13.18 MB, 需要: 1 个论坛币)
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• PHP and MySQL Recipes, 2nd Edition.pdf (10.19 MB)
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关键词：Recipes Edition editio dition Recipe important including reference previous instant

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• Stochastic Volatility Model using WinBUGS.pdf (1.24 MB, 需要: 1 个论坛币)
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  Stochastic Volatility Model using WinBUGS
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• Factor Stochastic Volatility Models.Hedibert Freitas Lopes.pdf (1.79 MB, 需要: 1 个论坛币)
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MULTIVARIATE STOCHASTIC VOLATILITY MODELS: BAYESIAN ESTIMATION AND MODEL COMPARISON
Jun Yu
School of Economics and Social Sciences, Singapore Management
University, Singapore
Renate Meyer
Department of Statistics, University of Auckland,
Auckland, New Zealand

In this paper we show that fully likelihood-based estimation and comparison of multivariate stochastic volatility (SV) models can be easily performed via a freely available Bayesian software called WinBUGS. Moreover, we introduce to the literature several new specifications that are natural extensions to certain existing models, one of which allows for time-varying correlation
coefficients. Ideas are illustrated by fitting, to a bivariate time series data of weekly exchange rates, nine multivariate SV models, including the specifications with Granger causality in volatility, time-varying correlations, heavy-tailed error distributions, additive factor structure, and multiplicative factor structure. Empirical results suggest that the best specifications are those that allow for time-varying correlation coefficients.

Keywords DIC; Factors; Granger causality in volatility; Heavy-tailed distributions; MCMC; Multivariate stochastic volatility; Time-varying correlations.

MULTIVARIATE STOCHASTIC VOLATILITY MODELS.pdf (301.49 KB, 需要: 1 个论坛币)

2013-12-8 07:43:44 上传

MULTIVARIATE STOCHASTIC VOLATILITY MODELS
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