Carlos Maté : Citation Profile


Are you Carlos Maté?

3

H index

2

i10 index

39

Citations

RESEARCH PRODUCTION:

6

Articles

2

Papers

RESEARCH ACTIVITY:

   15 years (2000 - 2015). See details.
   Cites by year: 2
   Journals where Carlos Maté has often published
   Relations with other researchers
   Recent citing documents: 14.    Total self citations: 3 (7.14 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pma1469
   Updated: 2020-08-01    RAS profile: 2019-10-14    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Carlos Maté.

Is cited by:

Ruiz, Esther (3)

Gonzalez-Rivera, Gloria (3)

Rodrigues, Paulo (2)

Weron, Rafał (2)

Tracy, Joseph (2)

Rich, Robert (2)

Alexopoulos, Thomas (1)

Winker, Peter (1)

Hong, Tao (1)

Fiszeder, Piotr (1)

Fuertes, Ana-Maria (1)

Cites to:

Diebold, Francis (5)

Mariano, Roberto (4)

Hyndman, Rob (4)

Cheung, Yin-Wong (4)

Gonzalez-Rivera, Gloria (3)

Lee, Tae Hwy (3)

Patuelli, Roberto (2)

Tay, Anthony S (2)

Wan, Alan (2)

Sosvilla-Rivero, Simon (1)

Simionescu (Bratu), Mihaela (1)

Main data


Where Carlos Maté has published?


Journals with more than one article published# docs
International Journal of Forecasting2

Working Papers Series with more than one paper published# docs
Working Papers / University of California at Riverside, Department of Economics2

Recent works citing Carlos Maté (2018 and 2017)


YearTitle of citing document
2019Dynamic Quantile Function Models. (2017). Sisson, Scott A ; Gerlach, Richard H ; Peters, Gareth W ; Ye, Wilson . In: Papers. RePEc:arx:papers:1707.02587.

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2019Prediction regions for interval-valued time series. (2019). Gonzalez-Rivera, Gloria ; Luo, Yun ; Ortega, Esther Ruiz. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:29054.

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2019Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices. (2019). Portolani, Pietro ; Matteucci, Matteo ; Brusaferri, Alessandro ; Vitali, Andrea. In: Applied Energy. RePEc:eee:appene:v:250:y:2019:i:c:p:1158-1175.

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2017Interval-valued time series forecasting using a novel hybrid HoltI and MSVR model. (2017). Bao, Yukun ; Xiong, Tao ; Li, Chongguang. In: Economic Modelling. RePEc:eee:ecmode:v:60:y:2017:i:c:p:11-23.

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2017Off the beaten track: A new linear model for interval data. (2017). Brito, Paula ; Dias, Sonia . In: European Journal of Operational Research. RePEc:eee:ejores:v:258:y:2017:i:3:p:1118-1130.

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2017The growing importance of natural gas as a predictor for retail electricity prices in US. (2017). Alexopoulos, Thomas A. In: Energy. RePEc:eee:energy:v:137:y:2017:i:c:p:219-233.

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2018A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area. (2018). Tracy, Joseph ; Rich, Robert. In: Working Papers (Old Series). RePEc:fip:fedcwp:1813.

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2017The behavior of uncertainty and disagreement and their roles in economic prediction: a panel analysis. (2017). Tracy, Joseph ; Rich, Robert. In: Staff Reports. RePEc:fip:fednsr:808.

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2017An Ensemble Model Based on Machine Learning Methods and Data Preprocessing for Short-Term Electric Load Forecasting. (2017). Lin, Yanbing ; Zhu, Kejun ; Guo, Haixiang ; Wang, Deyun ; Luo, Hongyuan . In: Energies. RePEc:gam:jeners:v:10:y:2017:i:8:p:1186-:d:107924.

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2019Prices of Mexican Wholesale Electricity Market: An Application of Alpha-Stable Regression. (2019). Retana-Blanco, Brenda ; Marmolejo-Saucedo, Jose Antonio ; Rodriguez-Aguilar, Roman . In: Sustainability. RePEc:gam:jsusta:v:11:y:2019:i:11:p:3185-:d:237865.

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2019Improving Short-Term Forecasting of Macedonian GDP: Comparing the Factor Model with the Macroeconomic Structural Equation Model. (2019). Eftimoski, Dimitar. In: Journal for Economic Forecasting. RePEc:rjr:romjef:v::y:2019:i:2:p:32-53.

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2020Spatial prediction and spatial dependence monitoring on georeferenced data streams. (2020). Irpino, Antonio ; Balzanella, Antonio. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:29:y:2020:i:1:d:10.1007_s10260-019-00462-0.

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2019Information-Theoretic Approach for Forecasting Interval-Valued SP500 Daily Returns. (2019). Ullah, Aman ; Golan, Amos ; Amanullah, ; Tuang, T S. In: Working Papers. RePEc:ucr:wpaper:201922.

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Works by Carlos Maté:


YearTitleTypeCited
2010Electric power demand forecasting using interval time series: A comparison between VAR and iMLP In: Energy Policy.
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article15
2009Forecasting histogram time series with k-nearest neighbours methods In: International Journal of Forecasting.
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article11
2009Svetlozar, T. Rachev, John S.J. Hsu, B.S. Bagasheva and F.J. Fabozzi , Bayesian Methods in Finance, John Wiley and Sons, USA (2008) ISBN 978-0-471-92083-0 (hardcover), $95, 329 pages. In: International Journal of Forecasting.
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article1
2011Different Approaches to Forecast Interval Time Series: A Comparison in Finance In: Computational Economics.
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article6
2015The Assessment of Some Macroeconomic Forecasts for Spain using Aggregated Accuracy Indicators In: Journal for Economic Forecasting.
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article2
2000Exploring the characteristics of rotating electric machines with factor analysis In: Journal of Applied Statistics.
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article0
2011Smoothing Methods for Histogram-valued Time Series. An Application to Value-at-Risk In: Working Papers.
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paper3
2011Forecasting with Interval and Histogram Data. Some Financial Applications In: Working Papers.
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paper1

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