SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Beyond point forecasting: Evaluation of alternative prediction intervals for tourist arrivals
16 references·2 citing·32 second hop
Beyond point forecasting: Evaluation of alternative prediction intervals for tourist arrivals (2010)Beyond point forecasting: Evaluation of a…Forecasting with Exponential Smoothing : The State Space Approach (2008)Forecasting with Exponential …Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Tourism demand modelling and forecasting—A review of recent research (2007)Tourism demand modelling and …25 years of time series forecasting (2006)25 years of time series forec…Recent Developments in Econometric Modeling and Forecasting (2005)Recent Developments in Econom…A state space framework for automatic forecasting using exponential smoothing methods (2002)A state space framework for a…Forecasting: Methods and Applications (1999)Forecasting: Methods and Appl…Small-sample Confidence Intervals for Impulse Response Functions (1998)Small-sample Confidence Inter…Evaluating Interval Forecasts (1998)Evaluating Interval ForecastsForecasting tourism demand: A review of empirical research (1995)Forecasting tourism demand: A…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyForecasting methods and applications (1993)Forecasting methods and appli…Forecasting, Structural Time Series Models and the Kalman Filter (1990)Forecasting, Structural Time …Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis, Forecas…Leveraging online reviews for hotel demand forecasting: A deep learning approach (2023)Leveraging online reviews for…Non-linear models for tourism demand forecasting (2015)Non-linear models for tourism…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)CAViaR (2004)CoVaR (2016)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)Social Media in Tourism and Hospitality: A Literature Review (2013)Progress and prospects for event tourism research (2015)Big data in tourism research: A literature review (2018)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Another look at measures of forecast accuracy (2006)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)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)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Principles of forecasting : a handbook for researchers and practitioners (2001)The politics of attention: how government prioritizes problems (2006)Long memory relationships and the aggregation of dynamic models (1980)Understanding spurious regressions in econometrics (1986)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Testing the equality of prediction mean squared errors (1997)Consumption, Aggregate Wealth, and Expected Stock Returns (2001)Deep learning with long short-term memory networks for financial market predictions (2017)Handbook on Constructing Composite Indicators (2005)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)
this work references cited by second hop

References

  • 1994Comparing Predictive Accuracy5,495 cited
  • 1978Time Series Analysis: Forecasting and Control.5,299 cited
  • 1995Comparing Predictive Accuracy5,214 cited
  • 1990Forecasting, Structural Time Series Models and the Kalman Filter4,101 cited
  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
  • 1971Time Series Analysis, Forecasting and Control.2,771 cited
  • 1998Evaluating Interval Forecasts2,689 cited
  • 1993Forecasting methods and applications2,393 cited
  • 200625 years of time series forecasting1,589 cited
  • 2007Tourism demand modelling and forecasting—A review of recent research1,419 cited
  • 2002A state space framework for automatic forecasting using exponential smoothing methods1,074 cited
  • 1998Small-sample Confidence Intervals for Impulse Response Functions919 cited
  • 1995Forecasting tourism demand: A review of empirical research896 cited
  • 2008Forecasting with Exponential Smoothing : The State Space Approach818 cited
  • 1999Forecasting: Methods and Applications626 cited
  • 2005Recent Developments in Econometric Modeling and Forecasting

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

524 cited

Cited by

  • 2023Leveraging online reviews for hotel demand forecasting: A deep learning approach51 cited
  • 2015Non-linear models for tourism demand forecasting40 cited