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INFORMATICALT
2008
135views more  INFORMATICALT 2008»
13 years 5 months ago
Neural Network with Matrix Inputs
In this paper we propose and analyze a multilayer perceptron-like model with matrix inputs. We applied the proposed model to the financial time series prediction problem, compared ...
Povilas Daniusis, Pranas Vaitkus

Lecture Notes
561views
15 years 4 months ago
Financial Econometrics
These notes cover several topics such as Review of Statistics, Least Squares and Maximum Likelihood Estimation, Index Models, Testing CAPM and Multifactor Models Event Studies, Ti...
Paul Söderlind
ICANN
2001
Springer
13 years 9 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 6 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
ML
2000
ACM
103views Machine Learning» more  ML 2000»
13 years 5 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir