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time-varying period estimation

Online Estimation of Time-Varying Volatility Using a Continuous-Discrete LMS Algorithm

Online Estimation of Time-Varying Volatility Using a Continuous-Discrete LMS Algorithm

... of estimation are about 1% and 10%, ...by time averaging; this is legitimate since there is piecewise repetition of the volatility value along its ...

8

Multi-period credit default prediction with time-varying covariates

Multi-period credit default prediction with time-varying covariates

... forecast time and which are not reflected in the covariates at the start of the ...Likelihood estimation under multi-way clustering indicate that an additional clustering (dependence) within the time ...

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Classical time-varying FAVAR models - estimation, forecasting and structural analysis

Classical time-varying FAVAR models - estimation, forecasting and structural analysis

... the period 1972-2007, several interesting results ...pseudo-real time evaluation, in particular for financial ...recent period, consistent with changes in the conduct of monetary policy and, ...

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Deriving Penalized Splines For Estimation Of Time Varying Effects In Survival Data

Deriving Penalized Splines For Estimation Of Time Varying Effects In Survival Data

... failure time distribution function or to assess the effects of covariate on survival via appropriate hazards regression ...observation period (Proportionality ...and time- ...

7

Cross-Sectional Relative Price Variability and Inflation in Turkey: Time Varying Estimation

Cross-Sectional Relative Price Variability and Inflation in Turkey: Time Varying Estimation

... is time variant. Significant time variation is found in the parameter estimates of the quadratic ...the period of 2005-2105 is not constant on the monthly ...

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Time Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean

Time Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean

... To conclude this work, a short case study on the Great Recession is proposed. The study focuses on four major economies which have been severely impacted by the crisis: Canada, the Euro area, Japan, and the United ...

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What determines the growth of services sector in Pakistan? A comparison of ARDL bound testing and time varying parametric estimation with general to specific approach

What determines the growth of services sector in Pakistan? A comparison of ARDL bound testing and time varying parametric estimation with general to specific approach

... followed time varying parametric approach (Kalman Filter) and auto regression distributed lag (ARDL) with general to specific approach to find out relevant macroeconomic determinants of Pakistan’s services ...

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Template-Based Estimation of Time-Varying Tempo

Template-Based Estimation of Time-Varying Tempo

... tatum period, the middle one to the tactus period, the largest one to the period of the musical ...tatum period can be defined as “the regular time division that mostly coincides with ...

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Time Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean

Time Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean

... Lately, time-varying VAR models have received much attention regarding the analysis and an- ticipation of economic crises, in particular the events of the Great ...a period of altered response of ...

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A reconsideration of the Meese-Rogoff puzzle: An alternative approach to model estimation and forecast evaluation. Dr Kelly Burns* Abstract

A reconsideration of the Meese-Rogoff puzzle: An alternative approach to model estimation and forecast evaluation. Dr Kelly Burns* Abstract

... Alternatively, some studies adopt the Kalman filter technique to incorporate time-varying parameters into exchange rate models. Yet again, almost all such studies neglect to test whether the difference in ...

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Multi period credit default prediction with time varying covariates

Multi period credit default prediction with time varying covariates

... forecast time and which are not reflected in the covariates at the start of the ...Likelihood estimation under multi-way clustering indicate that an additional clustering (dependence) within the time ...

19

TDARMA Model Estimation Using the MLS and the TF Distribution

TDARMA Model Estimation Using the MLS and the TF Distribution

... In this paper, the problem of identification and modeling of a TDARMA system is addressed. An approach for parameters estimation based on the superposition representation of non-stationary signals is presented. ...

10

Improving Portfolio Optimization by DCC And DECO GARCH: Evidence from Istanbul Stock Exchange

Improving Portfolio Optimization by DCC And DECO GARCH: Evidence from Istanbul Stock Exchange

... in-sample estimation for four year period, the GMV portfolios constructed by DCC and DECO-GARCH are closer to the true GMV than the other ...covariance estimation methods. In-sample estimation ...

21

Evaluating discrete and continuous time metrics on session and day basis to investigate the (time-varying) factors affecting therapy ending of the first psychotherapy episode

Evaluating discrete and continuous time metrics on session and day basis to investigate the (time-varying) factors affecting therapy ending of the first psychotherapy episode

... the period in between registration into health care and the “last day on which a session took place” (see Section ...of time? Of those that did not drop out of the first psychotherapy episode (yet), at what ...

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A study on state estimation for discrete time recurrent neural networks with leakage delay and time varying delay

A study on state estimation for discrete time recurrent neural networks with leakage delay and time varying delay

... state estimation for neural networks are focused on the continuous- time cases ...state estimation problem for discrete-time neural networks have been obtained in ...state estimation ...

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Carrier frequency offset estimation for OFDM systems with time-varying DC Offset

Carrier frequency offset estimation for OFDM systems with time-varying DC Offset

... CFO estimation algorithms for OFDM systems with TV-DCO, ...CFO estimation algo- rithm for OFDM systems with ...CFO estimation algorithm for OFDM systems with no DCO [7], with static ...

6

New developments in the CAPTAIN Toolbox for Matlab with case study examples

New developments in the CAPTAIN Toolbox for Matlab with case study examples

... the time series is assumed to be composed of an addi- tive or multiplicative combination of different components that have defined statistical characteristics but which can- not be observed ...the time ...

6

A Solution to the Problem of Extrapolation in Car Following Modeling Using an online fuzzy Neural Network

A Solution to the Problem of Extrapolation in Car Following Modeling Using an online fuzzy Neural Network

... To evaluate the performance of the proposed approach, the results of simulation on real data sets are presented here. For this purpose, the US Federal Highway Administration’s I-80 data are employed Error! Reference ...

9

The optimal sampling point for the quality assessment of continuous streams

The optimal sampling point for the quality assessment of continuous streams

... Key words: Varying flow rate; linear and exponential variograms; estimation error variance; optimal sampling point; continuous time stochastic process.. Introduction.[r] ...

14

Informed Trading, Flow Toxicity and the Impact on Intraday Trading Factors

Informed Trading, Flow Toxicity and the Impact on Intraday Trading Factors

... Lastly, a strong negative contemporaneous effect of duration on VPIN is noted, consistent across all stock groups. This study documents that the effect is more pronounced for larger capitalisation stocks / more liquid ...

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