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Integration of flows and signals data from mobile phone network for statistical analyses of traffic in a flooding risk area
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Integration of flows and signals data from mobile phone network for statistical analyses of traffic in a flooding risk area (2023)Integration of flows and signals data fro…Modeling and forecasting traffic flows with mobile phone big data in flooding risk areas to support a data-driven decision making (2023)Modeling and forecasting traf…Exploring the “15-minute city” and near working in Milan using mobile phone data (2022)Exploring the “15-minute city…A Spatio-Temporal Indicator for City Users Based on Mobile Phone Signals and Administrative Data (2020)A Spatio-Temporal Indicator f…A better measure of relative prediction accuracy for model selection and model estimation (2014)A better measure of relative …Multivariate Time Series Analysis: With R and Financial Applications (2013)Multivariate Time Series Anal…Another look at measures of forecast accuracy (2006)Another look at measures of f…Modelling small‐business credit scoring by using logistic regression, neural networks and decision trees (2005)Modelling small‐business cred…Forecasting principles and practiceForecasting principles and pr…Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Making and Evaluating Point Forecasts (2011)Trading on Twitter: Using Social Media Sentiment to Predict Stock Returns (2016)Measures of Model Performance Based On the Log Accuracy Ratio (2018)Prediction‐Oriented Model Selection in Partial Least Squares Path Modeling (2018)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Neural network credit scoring models (2000)Modeling the efficiency of top Arab banks: A DEA–neural network approach (2007)Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait (2010)Oil price forecasting using gene expression programming and artificial neural networks (2016)MEASURING QUALITY OF LIFE: ECONOMIC, SOCIAL, AND SUBJECTIVE INDICATORS (1997)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Postearthquake situational awareness based on mobile phone signaling data: An example from the 2017 Jiuzhaigou earthquake (2021)Statistical indicators based on mobile phone and street maps data for risk management in small urban areas (2023)Prediction model establishment for residential community occupancy considering urban environment (2024)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Automatic Time Series Forecasting: The forecast Package for R (2008)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia (2015)Time Series Analysis: Forecasting and Control, 5th edition (2017)Is bitcoin a safe haven or a hedging asset? Evidence from China (2019)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Living and working in the (post-pandemic) city: a research agenda (2023)Differences in choice of transportation mode by residents of 15-minute cities according to destination amenities: Break away from car dominant city (2025)State of the art for walking as a transport mode within 15-minute cities (2025)
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References

  • 2006Another look at measures of forecast accuracy5,736 cited
  • n.d.Forecasting principles and practice4,364 cited
  • 2014A better measure of relative prediction accuracy for model selection and model estimation449 cited
  • 2013Multivariate Time Series Analysis: With R and Financial Applications392 cited
  • 2005Modelling small‐business credit scoring by using logistic regression, neural networks and decision trees128 cited
  • 2023Modeling and forecasting traffic flows with mobile phone big data in flooding risk areas to support a data-driven decision making16 cited
  • 2020A Spatio-Temporal Indicator for City Users Based on Mobile Phone Signals and Administrative Data16 cited
  • 2022Exploring the “15-minute city” and near working in Milan using mobile phone data15 cited

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