Short-term forecasting of the coronavirus pandemic by Doornik, JA, Castle, JL, Hendry, DF

Forecasting by factors, by variables, or both? by Castle, J, Hendry, D, Clements, M

Explaining nowcast errors by Druba, H, Castle, J, Hendry, D

Forecasting an essential introduction by Castle, C, Clements, M, Hendry, D

Model selection in equations with many 'small' effects by Castle, J, Doornik, J, Hendry, D

Wide-area augmented reality using camera tracking and mapping in multiple regions by Castle, R, Klein, G, Murray, D

Robust approaches to forecasting by Castle, J, Hendry, D, Clements, M

An overview of forecasting facing breaks by Castle, J, Hendry, D, Clements, M

An overview of forecasting facing breaks by Castle, J, Clements, M, Hendry, D

Model Selection in Equations with Many 'Small' Effects. by Castle, J, Doornik, J, Hendry, D

Model Selection when there are Multiple Breaks. by Castle, J, Doornik, J, Hendry, D

Evaluating automatic model selection by Castle, J, Hendry, D, Doornik, J

Statistical short-term forecasting of the COVID-19 pandemic by Doornik, JA, Hendry, DF, Castle, JL

Evaluating forecasts, narratives and policy using a test of invariance by Castle, J, Hendry, D, Martinez, A

Smooth robust multi-horizon forecasts by Martinez, AB, Castle, JL, Hendry, DF

Combining monoSLAM with object recognition for scene augmentation using a wearable camera by Castle, R, Klein, G, Murray, D

Model selection when there are multiple breaks by Castle, J, Doornik, J, Hendry, D

Autometrics by Doornik, J, Shephard, N, J.Castle

Modeling and forecasting the COVID-19 pandemic time-series data by Doornik, JA, Castle, JL, Hendry, DF

Model selection when there are multiple breaks by Castle, J, Hendry, D, Doornik, J