Camilo Cárdenas Hurtado

Camilo Cárdenas Hurtado

LSE Fellow and PhD Student

Department of Statistics

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Key Expertise
Latent variable models, Item Response Theory, Applied statistical modelling

About me

Research Group
Social Statistics

Professor Irini MoustakiDr. Yunxiao Chen

Camilo Cárdenas-Hurtado is a PhD candidate in Statistics (Social Statistics research group) at the London School of Economics and Political Science, working under supervision of Profesor Irini Moustaki and Dr. Yunxiao Chen.

His research focuses on the development of a general unified statistical framework for estimating and testing linear and non-linear latent variable models. In particular, he extends the Generalised Additive Models for Location, Shape and Scale (GAMLSS) framework (Rigby and Stasinopoulos, 2005) to models with latent variables (Bartholomew et. al., 2011). The proposed framework allows for more flexible functional forms on the measurement equations not only for the mean, but also for higher order moments. The estimation is done through a novel and computationally efficient penalised method. Moreover, Camilo is also interested in applied statistical modelling, computational statistics, and causal inference.

Camilo holds a MSc in Statistics, a Graduate Diploma in Statistics, and a BA in Economics, all from the Universidad Nacional de Colombia (UNAL). Prior to joining LSE, he worked as a Senior Economist for the Central Bank of Colombia, with extensive experience and research outputs on macroeconomic analysis and time series forecasting.