Search results: Sage Journals

Restricted accessResearch articleFirst published November, 2024

Tourism Demand Forecasting With Multiple Mixed-Frequency Data: A Reverse Mixed-Data Sampling Method

Peihuang Wu, Gang Li, Long Wen [...]

Journal of Travel Research

Restricted accessResearch articleFirst published February, 2021

Forecasting tourist arrivals: Google Trends meets mixed-frequency data

Tomas Havranek, Ayaz Zeynalov

Tourism Economics

Restricted accessResearch articleFirst published May, 2016

Forecasting Inflation with Mixed Frequency Data in India

Bikash Maji, Abhiman Das

Calcutta Statistical Association Bulletin

Restricted accessResearch articleFirst published August, 2023

Measuring tourism demand nowcasting performance using a monotonicity test

Han Liu, Yongjing Wang, Haiyan Song [...]

Tourism Economics

Open accessResearch articleFirst published November, 2022

A hybrid MIDAS approach for forecasting hotel demand using large panels of search data

Binru Zhang, Nao Li, Rob Law [...]

Tourism Economics

Restricted accessResearch articleFirst published December, 2025

Evaluating the Accuracy of Vehicle Tracking Data from Unmanned Aerial Vehicle Videos and Identifying Traffic Conflict Points to Develop a Conflict Frequency Predictive Model for Roundabout Safety Assessment under Mixed Traffic

Abhijnan Maji, Indrajit Ghosh

Transportation Research Record: Journal of the Transportation Research Board

Open accessResearch articleFirst published 2025

Two-sample Age-period-cohort Models

Bent Nielsen

Sociological Methods & Research

Restricted accessResearch articleFirst published June, 2026

Climate Risk Transmissions to Commodity Markets: Evidence From a Mixed-Frequency Spillover Approach

Ye Chen, Yu Wei, Chunyan Zhou

Evaluation Review

Restricted accessResearch articleFirst published June 1, 2022

An EEMD-CNN-BiLSTM-attention neural network for mixed frequency stock return forecasting

Yi Cai, Jinlu Guo, Zhenpeng Tang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Restricted accessResearch articleFirst published June, 2004

“…because dem Computer brauchst' es ja nicht zeigen.”*: because + German main clause word order

Eva Eppler

International Journal of Bilingualism

Restricted accessResearch articleFirst published November, 2024

Tourism Demand Forecasting With Multiple Mixed-Frequency Data: A Reverse Mixed-Data Sampling Method

Peihuang Wu, Gang Li, Long Wen [...]

Journal of Travel Research

Restricted accessResearch articleFirst published February, 2021

Forecasting tourist arrivals: Google Trends meets mixed-frequency data

Tomas Havranek, Ayaz Zeynalov

Tourism Economics

Restricted accessResearch articleFirst published May, 2016

Forecasting Inflation with Mixed Frequency Data in India

Bikash Maji, Abhiman Das

Calcutta Statistical Association Bulletin

Restricted accessResearch articleFirst published August, 2023

Measuring tourism demand nowcasting performance using a monotonicity test

Han Liu, Yongjing Wang, Haiyan Song [...]

Tourism Economics

Open accessResearch articleFirst published November, 2022

A hybrid MIDAS approach for forecasting hotel demand using large panels of search data

Binru Zhang, Nao Li, Rob Law [...]

Tourism Economics

Restricted accessResearch articleFirst published December, 2025

Evaluating the Accuracy of Vehicle Tracking Data from Unmanned Aerial Vehicle Videos and Identifying Traffic Conflict Points to Develop a Conflict Frequency Predictive Model for Roundabout Safety Assessment under Mixed Traffic

Abhijnan Maji, Indrajit Ghosh

Transportation Research Record: Journal of the Transportation Research Board

Open accessResearch articleFirst published 2025

Two-sample Age-period-cohort Models

Bent Nielsen

Sociological Methods & Research

Restricted accessResearch articleFirst published June, 2026

Climate Risk Transmissions to Commodity Markets: Evidence From a Mixed-Frequency Spillover Approach

Ye Chen, Yu Wei, Chunyan Zhou

Evaluation Review

Restricted accessResearch articleFirst published June 1, 2022

An EEMD-CNN-BiLSTM-attention neural network for mixed frequency stock return forecasting

Yi Cai, Jinlu Guo, Zhenpeng Tang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Restricted accessResearch articleFirst published June, 2004

“…because dem Computer brauchst' es ja nicht zeigen.”*: because + German main clause word order

Eva Eppler

International Journal of Bilingualism