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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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Blog Post number 4
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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institutional
Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model.
A. Bhattacharjee, NIESR Publications No. 538, 2022.
Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity.
with G. Potjagailo Bank of England Staff WP Series,No. 1,025, 2023.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
A Theory-based Lasso for time-series data. doi
with A.Ahrens,C. Aitken, J. Ditzen, E. Ersoy, M.E. Schaffer in Data Science for Financial Econometrics vol 898, 2021.
Horseshoe prior Bayesian quantile regression. doi
T. Szendrei in Journal of the Royal Statistical Society Series C: Applied Statistics 0035-9254, 2023.
Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model. doi
with A. Bhattacharjee in International Journal of Forecasting 39(3), 2023.
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Mathematics, Statistics and Econometrics (ECNM11002).
Postgraduate course; University of Edinburgh; Winter 2019.
Econometrics 2 (ECNM11050).
Postgraduate course; University of Edinburgh; Winter 2019-Winter2022.
The Economy.
Undergraduate course; Heriot-Watt University; Winter 2019.
Introductory Econometrics.
Undergraduate course; Heriot-Watt University; Winter 2020.
Bayesian Data Analysis.
Postgraduate course; Aalto University; Winter 2022-present.
wps
Decoupling shrinkage and selection for the Bayesian quantile regression. WP
with T. Szendrei arXiv:2107.08498, 2021, submitted.
Bayesian order identification of ARMA models with projection predictive inference. WP
with Y. McLatchie, A. Matamoros, A. Vehtari arXiv:2208.14824,2022, submitted.
Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity. WP
with G. Potjagailo Bank of England Staff WP Series,2023, revise and resubmit at Journal of Business and Economic Statistics.