SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria
16 references·2 citing·33 second hop
Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria (2018)Exploring the predictive ability of LIKES…Big data in tourism research: A literature review (2018)Big data in tourism research:…A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism (2016)A comparative analysis of maj…Predicting the Present with Google Trends (2012)Predicting the Present with G…Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Forecasting with Exponential Smoothing (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 …Tests of Conditional Predictive Ability (2006)Tests of Conditional Predicti…There is a risk-return trade-off after all (2005)There is a risk-return trade-…A state space framework for automatic forecasting using exponential smoothing methods (2002)A state space framework for a…Testing the equality of prediction mean squared errors (1997)Testing the equality of predi…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyCo-Integration and Error Correction: Representation, Estimation, and Testing (1987)Co-Integration and Error Corr…Time Series Analysis Forecasting and Control (1971)Time Series Analysis Forecast…The Distributed Lag Between Capital Appropriations and Expenditures (1965)The Distributed Lag Between C…Do topic and sentiment matter? Predictive power of online reviews for hotel demand forecasting (2024)Do topic and sentiment matter…Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach (2022)Machine learning models for p…Time Series Analysis, Forecasting and Control. (1971)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)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)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Risk, Return, and Equilibrium: Empirical Tests (1973)Macroeconomic Forecasting Using Diffusion Indexes (2002)A Test for Superior Predictive Ability (2005)Large Bayesian vector auto regressions (2009)Volatility forecast comparison using imperfect volatility proxies (2010)25 years of time series forecasting (2006)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Political Parties and Macroeconomic Policy (1977)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Seasonal integration and cointegration (1990)Statistical analysis of cointegration vectors (1988)MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)Bounds testing approaches to the analysis of level relationships (2001)Beyond the hype: Big data concepts, methods, and analytics (2014)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)In Search of Attention (2011)Text as Data (2019)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Consumption, Aggregate Wealth, and Expected Stock Returns (2001)Deep learning with long short-term memory networks for financial market predictions (2017)
this work references cited by second hop

References

  • 1987Co-Integration and Error Correction: Representation, Estimation, and Testing31,983 cited
  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 1994Comparing Predictive Accuracy5,495 cited
  • 1995Comparing Predictive Accuracy5,214 cited
  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
  • 2012Predicting the Present with Google Trends2,353 cited
  • 1997Testing the equality of prediction mean squared errors2,103 cited
  • 1971Time Series Analysis Forecasting and Control1,792 cited
  • 2006Tests of Conditional Predictive Ability1,667 cited
  • 2007Tourism demand modelling and forecasting—A review of recent research1,419 cited
  • 1965The Distributed Lag Between Capital Appropriations and Expenditures1,133 cited
  • 2002A state space framework for automatic forecasting using exponential smoothing methods1,074 cited
  • 2018Big data in tourism research: A literature review1,073 cited
  • 2016A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism1,056 cited
  • 2008Forecasting with Exponential Smoothing1,040 cited

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

  • 2005There is a risk-return trade-off after all1,019 cited
  • Cited by

    • 2022Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach47 cited
    • 2024Do topic and sentiment matter? Predictive power of online reviews for hotel demand forecasting41 cited