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Stuck in
#econometrics#exams#FridayThoughts please Allah help us.@harmain_khawar@waqar_jaffery -
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@EconMetrics: Sequential monitoring for changes from stationarity to mild non-stationarity https://ift.tt/32EP7ZF#econometrics#timeseries -
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@EconMetrics: Non-standard inference for augmented double autoregressive models with null volatility coefficients https://ift.tt/2nNYOp6#econometrics#timeseries -
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@EconMetrics: Ultrahigh dimensional precision matrix estimation via refitted cross validation https://ift.tt/2mCgfZe#econometrics#timeseries -
Nonparametric identification of discrete choice models with lagged dependent variables https://ift.tt/2VBGe09
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Inference on distribution functions under measurement error https://ift.tt/2ng10Fp
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Determining individual or time effects in panel data models https://ift.tt/2lJ9LHE
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Does modeling a structural break improve forecast accuracy? https://ift.tt/2M7k9Ce
#econometrics#timeseries -
Inference for local distributions at high sampling frequencies: A bootstrap approach https://ift.tt/31xhLLK
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Hybrid stochastic local unit roots https://ift.tt/2IHdlKU
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Forecasting of electricity price through a functional prediction of sale and purchase curves https://ift.tt/2T5fMLe
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Filtering and prediction of noisy and unstable signals: The case of Google Trends data https://ift.tt/2Zh4nu1
#econometrics -
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@ErasmusESE:#econometrics professor Philip Hans Franses gives a lecture to elementary school children as part of the Erasmus Junior College initiative. We're looking forward to welcoming these future economists in a decade or two. … pic.twitter.com/Pq11rHG06D
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We are looking forward to meeting you at the Landelijke Econometristendag LED 2020! Find out about opportunities with Optiver https://optiver.com/eu/en/job-opportunities/all/Trading/Amsterdam/ …
#econometrics#trading#LED2020 https://leditbeyourday.nl pic.twitter.com/NpnzRi38F4
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Introduction of the annals issue: Statistical learning for dependent data — A celebration of the 85th birthday of Professor George C. Tiao https://ift.tt/3b5PocS
#econometrics#timeseries
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