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Linear models with time-varying parameters: a comparison of . . . - Springer Estimation of linear models with time-varying parameters can be accomplished in a variety of ways, each making different assumptions, with varying degrees of accuracy and computational complexity In this paper, we compare different gretl packages by means of simulated and real data focusing on both statistical and computational aspects Our findings show that all the estimators provide
Estimating Time-varying Vector Autoregressive (VAR) Models To illustrate estimating time-varying VAR models, I use an ESM time series of 12 mood related variables that are measured up to 10 times a day for 238 consecutive days (for details about this dataset see Kossakowski et al (2017))
What is work done by varying force? - Physics Network What is a varying force? During the motion of a body when the force whose direction and magnitude changes is known as variable force Examples of variable force are magnetic force, spring force and electrostatic force Forces that we encounter in our day-to-day life are mostly variable forces
Time Varying Correlation: A Key Indicator in Finance Correlations between different asset returns represent a crucial element in assets allocation decisions and financial engineering In commodity markets, where prices result non stationary and returns are only mean stationary, a time varying measure of correlation has
Impact of time-varying exposure on estimated effects in observational . . . Introduction Time-varying exposure is an important issue that should be addressed in longitudinal observational studies using routinely collected data (RCD) for drug treatment effects How well investigators designed, analysed and reported time-varying exposure, and to what extent the divergence that can be observed between different methods used for handling time-varying exposure in these
A review of the use of time‐varying covariates in the Fine‐Gray . . . Abstract In survival analysis, time‐varying covariates are covariates whose value can change during follow‐up Outcomes in medical research are frequently subject to competing risks (events precluding the occurrence of the primary outcome) We review the types of time‐varying covariates and highlight the effect of their inclusion in the subdistribution hazard model External time