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Nikolay Robinzonov
Nikolay Robinzonov
Department of Statistics, LMU Munich
Verified email at stat.uni-muenchen.de - Homepage
Title
Cited by
Cited by
Year
Model-based boosting in R: a hands-on tutorial using the R package mboost
B Hofner, A Mayr, N Robinzonov, M Schmid
Computational statistics 29, 3-35, 2014
3372014
Stock market volatility: Identifying major drivers and the nature of their impact
S Mittnik, N Robinzonov, M Spindler
Journal of banking & Finance 58, 1-14, 2015
1432015
Boosting techniques for nonlinear time series models
N Robinzonov, G Tutz, T Hothorn
AStA Advances in Statistical Analysis 96, 99-122, 2012
652012
Freedom of choice in macroeconomic forecasting
N Robinzonov, K Wohlrabe
CESifo Economic Studies 56 (2), 192-220, 2010
202010
Advances in boosting of temporal and spatial models
N Robinzonov
lmu, 2013
172013
Freedom of choice in macroeconomic forecasting: An illustration with German industrial production and linear models
N Robinzonov, K Wohlrabe
Ifo working paper, 2008
132008
The micro dynamics of macro announcements
S Mittnik, N Robinzonov, K Wohlrabe
CESifo Working Paper Series, 2013
112013
Boosting for estimating spatially structured additive models
N Robinzonov, T Hothorn
Statistical Modelling and Regression Structures: Festschrift in Honour of …, 2009
42009
Was bewegt den DAX?
S Mittnik, N Robinzonov, K Wohlrabe
ifo Schnelldienst 66 (23), 32-36, 2013
22013
Boosting the Anatomy of Volatility
S Mittnik, N Robinzonov, M Spindler
22012
Market uncertainty and macroeconomic announcements: High–frequency evidence from the German DAX
S Mittnik, NR Robinzonov, K Wohlrabe
preparation.-0.4, 2011
22011
A Gentle Introduction to LATEX
N Robinzonov
12010
Risk Management Using R
N Robinzonov
2013
What Moves the DAX?
S Mittnik, N Robinzonov, K Wohlrabe
ifo Schnelldienst 66 (23), 32-36, 2013
2013
Market uncertainty and macroeconomic announcements: High–frequency evidence from the German DAX
N Robinzonov
2011
Boosting Techniques for Nonlinear Time Series Models
G Tutz, F Leitenstorfer, N Robinzonov
2008
Machine learning for volatility prediction
S Mittnik, N Robinzonov, M Spindler
Model-based boosting in R
N Robinzonov
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