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Stochastic models
Results: 1168

#	Item
721	Melbourne Institute Working Paper Series Working Paper No[removed]Estimating the Expected Duration of the Zero Lower Bound in DSGE Models with Forward Guidance Mariano Kulish, James Morley and Tim Robinson Add to Reading List Source URL: www.melbourneinstitute.com Language: English - Date: 2014-07-24 20:00:09 Interest rates Macroeconomic policy Public finance Dynamic stochastic general equilibrium Yield curve Inflation Zero interest rate policy Phillips curve Contractionary monetary policy Macroeconomics Economics Monetary policy
722	Lifted Parameter Learning in Relational Models Babak Ahmadi1 [removed] Kristian Kersting1,2,3 [removed] Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 13:16:28 Theoretical computer science M-estimators Stochastic optimization Estimation theory Stochastic gradient descent Markov logic network Conditional random field Gradient boosting Maximum likelihood Statistics Machine learning Probability and statistics
723	Modeling wildlife epidemics: Parameter inference and model selection in deterministic and stochastic dynamical models Jennifer A. Hoeting Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-08-20 09:02:42 Statistics Chronic wasting disease CWD Epidemic model Stochastic differential equation Elk Economic model Transmissible spongiform encephalopathies Information Science
724	Forecasting with DSGE models Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2010-05-05 07:26:11 Statistical forecasting Time series analysis Econometrics New classical macroeconomics New Keynesian economics Dynamic stochastic general equilibrium Macroeconomic model Forecasting Regression analysis Statistics Macroeconomics Economics
725	1 Bridging DSGE models and the raw data Fabio Canova EUI and CEPR Add to Reading List Source URL: apps.eui.eu Language: English - Date: 2014-04-01 04:32:45 Macroeconomics Time series analysis New classical macroeconomics Scientific method Dynamic stochastic general equilibrium Macroeconomic model Data transformation Economic model Autoregressive conditional heteroskedasticity Economics Information Econometrics
726	The impact of structural policies on external accounts in infinite-horizon and finite-horizon models Add to Reading List Source URL: ec.europa.eu Language: English - Date: 2014-10-07 04:43:47 Economics Labour economics Dynamic stochastic general equilibrium Forward contract
727	WAGE DYNAMICS NETWORK Resuscitating the wage channel in models with Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2009-03-09 13:30:24 Labor economics Economic theories Real rigidity Labour economics Unemployment Wage Dynamic stochastic general equilibrium Keynesian economics Employment Macroeconomics New Keynesian economics Economics
728	Lifted Online Training of Relational Models with Stochastic Gradient Methods Babak Ahmadi1 , Kristian Kersting1,2,3 , and Sriraam Natarajan3 1 2 Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 11:37:23 Machine learning Theoretical computer science M-estimators Maximum likelihood Markov random field Statistical relational learning Conditional random field Stochastic gradient descent Belief propagation Statistics Graphical models Statistical models
729	Tutkimusraportti Forskningsrapport Research report[removed] Add to Reading List Source URL: www.finanssivalvonta.fi Language: English - Date: 2009-05-13 07:48:40 Options Markov models Markov chain Random walk Beta Jump diffusion Autoregressive conditional heteroskedasticity Jump process Maximum likelihood Statistics Stochastic processes Mathematical finance
730	Lifted Parameter Learning in Relational Models Babak Ahmadi1 [removed] Kristian Kersting1,2,3 [removed] Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 13:16:28 Theoretical computer science M-estimators Stochastic optimization Estimation theory Stochastic gradient descent Markov logic network Conditional random field Gradient boosting Maximum likelihood Statistics Machine learning Probability and statistics

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