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The Status of Budget Forecasting
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The Status of Budget Forecasting (2016)The Status of Budget ForecastingAutomatic time series forecasting: the forecast package for R (2017)Automatic time series forecas…Some Recent Developments in a Concept of Causality (2010)Some Recent Developments in a…Judgmental forecasting: A review of progress over the last 25years (2006)Judgmental forecasting: A rev…Exponential smoothing: The state of the art—Part II (2006)Exponential smoothing: The st…25 years of time series forecasting (2006)25 years of time series forec…A state space framework for automatic forecasting using exponential smoothing methods (2002)A state space framework for a…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …Causality, cointegration, and control (1988)Causality, cointegration, and…Are Forecasting Models Usable for Policy Analysis? (1986)Are Forecasting Models Usable…Exponential smoothing: The state of the art (1985)Exponential smoothing: The st…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…Policy Analysis with Econometric Models (1982)Policy Analysis with Economet…Forecasting and Planning: An Evaluation (1981)Forecasting and Planning: An …Forecasting: Methods and Applications. (1979)Forecasting: Methods and Appl…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…Combining forecasts: A review and annotated bibliography (1989)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)On the use of cross-validation for time series predictor evaluation (2012)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Time series forecasting of petroleum production using deep LSTM recurrent networks (2018)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)The Combination of Forecasts (1969)Combining forecasts: A review and annotated bibliography (1990)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Forecasting methods and applications (1993)A new metric of absolute percentage error for intermittent demand forecasts (2016)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)What Does Monetary Policy Do? (1996)Oil price shocks and stock market activity (1999)What are the effects of fiscal policy shocks? (2009)The tourism forecasting competition (2010)M5 accuracy competition: Results, findings, and conclusions (2022)Some recent development in a concept of causality (1988)Unit root tests in panel data: asymptotic and finite-sample properties (2002)Achieving competitive advantage through implementing a replicable management standard: Installing and using ISO 9000 (2005)Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions (2006)Robust forecasting with exponential and Holt–Winters smoothing (2009)
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References

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  • 2006Judgmental forecasting: A review of progress over the last 25years

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