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Probability and statistics
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151	Volatility modelling: decoupling the short- and long-term behavior of stochastic volatility Mikkel Bennedsen∗, Asger Lunde†, Mikko S. Pakkanen‡ January 10, 2016 Abstract Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-07 23:59:23 Mathematical finance Statistics Applied mathematics Probability Volatility Stochastic volatility Implied volatility Realized variance Fractional Brownian motion Normal distribution
152	PUBLICATIONS Vincenzo CAPASSO e-mail: ADAMSS (Advanced Applied Mathematical and Statistical Sciences) Add to Reading List Source URL: www.mat.unimi.it Language: English - Date: 2014-09-11 08:53:50 Probability theory Data Statistics Stochastic processes Mathematical and theoretical biology Epidemic model Theoretical ecology Poisson point process Scientific modelling Stochastic
153	Journal of Wildlife Management 75(1):36–45; 2011; DOI: jwmg.15 Research Article Ecological and Methodological Factors Affecting Detectability and Population Add to Reading List Source URL: comp.uark.edu Language: English Environmental statistics Knowledge Statistics Survey methodology Epidemiology Mark and recapture Information Sampling Probability distribution Transect
154	EUROPEAN COMMISSION DG RTD SEVENTH FRAMEWORK PROGRAMME THEME 7 TRANSPORT - SST Add to Reading List Source URL: www.optimore-project.eu Language: English - Date: 2014-01-09 08:10:49 Statistics Accuracy and precision Calibration Measurement Metrology Standards Statistical theory Calibrated probability assessment
155	Estimating a Dirichlet distribution Thomas P. Minkarevised 2003, 2009, 2012) Abstract The Dirichlet distribution and its compound variant, the Dirichlet-multinomial, are two of the most basic models for proportion Add to Reading List Source URL: www.msr-waypoint.com Language: English - Date: 2012-03-29 12:29:15 Statistics Mathematical analysis Probability distributions Probability Dirichlet distribution Dirichlet-multinomial distribution Exponential family Gamma distribution Differential forms on a Riemann surface
156	V A L U E-A T-R I S K (V A R) Value-at-Risk (VaR) The authors describe how to implement VaR, the risk measurement technique widely used in financial risk management. by Simon Benninga and Zvi Wiener Add to Reading List Source URL: pluto.mscc.huji.ac.il Language: English - Date: 2014-02-02 05:57:49 Statistics Financial risk Probability Mathematical analysis Actuarial science Mathematical finance Covariance and correlation Summary statistics Value at risk RiskMetrics Covariance Variance
157	In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, 2010 Exploiting Local Structure in Stacked Boltzmann Machines Hannes Schulz, Andreas M¨ ul Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Statistics Probability Statistical models Machine learning Artificial intelligence Computational neuroscience Restricted Boltzmann machine Boltzmann machine Feature learning Deep belief network Convolutional neural network
158	Environmental contour method: An approximate method for obtaining characteristic response extremes for design purposes Sverre Haver, Statoil ASA and Kjersti Bruserud Statoil ASA, NO-4035 Stavanger, Norway Gro Sagli Baarh Add to Reading List Source URL: www.waveworkshop.org Language: English - Date: 2013-09-30 15:26:19 Statistics Mathematical analysis Probability Probability distributions Data Information Normal distribution Contour line
159	This article was downloaded by: [On: 18 July 2016, At: 23:35 Publisher: Institute for Operations Research and the Management Sciences (INFORMS) INFORMS is located in Maryland, USA Management Science Publi Add to Reading List Source URL: www.rmi.nus.edu.sg Language: English - Date: 2016-07-19 02:36:08 Statistics Mathematical finance Probability Mathematical analysis Stochastic processes Technical analysis Options Probability distributions Volatility VIX Stochastic volatility Jump diffusion
160	Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference Add to Reading List Source URL: bedford.io Language: English - Date: 2016-03-03 22:30:47 Statistics Statistical inference Statistical theory Probability distributions Survey methodology Infinitely divisible probability distributions Sampling Coalescent theory Bayesian inference Confidence interval Poisson distribution Viral phylodynamics

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