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A dynamic coupled modelling is investigated to take temperature into account in the individual energy consumption forecasting. The objective is both to avoid the inherent complexity of exhaustive SARI...
We introduce the notion of continuously invertible volatility models that relies on some Lyapunov condition and some regularity condition.
This paper presents a backfitting-type method for estimating and forecasting a periodically correlated partially linear model with exogeneous variables and heteroskedastic input noise. A rate of conve...
This paper presents a backfitting-type method for estimating and forecasting a periodically correlated partially linear model with exogeneous variables and heteroskedastic input noise. A rate of conve...
Time-evolution and hence, forecasting the growth profiles of business-centric technoeconomics are ascertained. As an example, the vast telecommunication (telco)-specific business is considered as a co...
The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, pra...
This paper proposes a novel approach for modeling prepayment rates of individual pools of mortgages.The model incorporates the empirical evidence that prepayment is past dependent via Bayesian metho...
The possibility of the type of spline function and joint points selected affecting the consistency of the ex-post and ex-ante forecasts were tested using cereal production (1961-2006) and percent cont...
We consider the problem of forecasting the next (observable) state of an unknown ergodic dynamical system from a noisy observation of the present state. Our main result shows, for example, that sup...
This work considers a generalization of the INAR(1) model to the panel data first order Seemingly Unrelated INteger AutoRegressive Poisson model, SUINAR(1). It presents Bayesian and classical method...
The paper focuses on robust estimation and forecasting techniques for grouped binary data with misclassified responses. It is assumed that the data are described by the beta-mixed hierarchical model ...
This note proves a weak type of the sharpness principle as conjectured by Gneiting, Balabdaoui, and Raftery [9] in connection with probabilistic forecasting subject to calibration constraints. A str...
Short-range forecasts of precipitation fields are needed in a wealth of agricultural, hydrological, ecological and other applications. Forecasts from numerical weather prediction models are often bi...
MONETARY POLICY, MARKET PRICES, AND SUPPLY-SIDE FORECASTING。
HAS MACRO-FORECASTING FAILED?     MACRO-FORECASTING  FAILED       2008/11/25
HAS MACRO-FORECASTING FAILED?

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