¿ @nihilistic_stat

A would-be statistician / econometrician。 enigma Joined March 2021

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Frank Nielsen @FrnkNlsn

7 months ago

The Fisher information matrix can be expressed as the Hessian of the relative entropy (Kullback-Leibler divergence) when the statistical model is regular.

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Stat.ML Papers @StatMLPapers

7 months ago

Trustworthy Evaluation of Generative AI Models ift.tt/arO8CED

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Tomohiro Ohigashi / 大東智洋 @tom_ohigashi

7 months ago

On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination Peng Wu, Shanshan Luo, Zhi Geng tandfonline.com/doi/full/10.10…

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arXiv math.ST Statistics Theory @mathSTb

7 months ago

Vikas Deep, Achal Bassamboo, Sandeep Juneja: Asymptotic optimality theory of confidence intervals of the mean arxiv.org/abs/2501.19126 arxiv.org/pdf/2501.19126 arxiv.org/html/2501.19126

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Econometrics @eBlogs

7 months ago

PUATE: Semiparametric Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units. arxiv.org/abs/2501.19345

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Jürgen Schmidhuber @SchmidhuberAI

7 months ago

It has been said that AI is the new oil, the new electricity, and the new internet. And the once nimble and highly profitable software companies (MSFT, GOOG, ...) became like utilities, investing in nuclear energy, among other things, to run AI data centres. Open Source and the…

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Andrei Hagiu @theplatformguy

8 months ago

New paper “AI and Competition Policy” forthcoming in IJIO. Will AI be dominated by a few firms? How will AI affect the market structure for existing sectors? What “traditional” competition policy issues arise with AI and what novel issues does AI raise? doi.org/10.1016/j.ijin…

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Statistics Papers @StatsPapers

7 months ago

Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation. arxiv.org/abs/2405.16246

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Econometric Reviews @MetricReviews

7 months ago

Weifeng Jin (@WeifengJIN1993) and Carlos Velasco introduce novel tests for predictability, which effectively detect predictability in NYSE, AMEX, and NASDAQ returns. tandfonline.com/doi/full/10.10…

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OpenAI @OpenAI

8 months ago

Trading Inference-Time Compute for Adversarial Robustness openai.com/index/trading-…

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OpenAI @OpenAI

7 months ago

OpenAI o3-mini is a powerful and fast reasoning model that is particularly strong in science, math, and coding. openai.com/index/openai-o…

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Jürgen Schmidhuber @SchmidhuberAI

7 months ago

DeepSeek [1] uses elements of the 2015 reinforcement learning prompt engineer [2] and its 2018 refinement [3] which collapses the RL machine and world model of [2] into a single net through the neural net distillation procedure of 1991 [4]: a distilled chain of thought system.…

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Triad sou. @triadsou

7 months ago

Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case study. Camila Olarte Parra, Rhian M Daniel, David Wright, Jonathan W Bartlett. Biometrics. doi.org/10.1093/biomtc…

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Econometrics @eBlogs

7 months ago

Dynamic LATEs with a Static Instrument. arxiv.org/abs/2305.18114

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Econometrics @eBlogs

7 months ago

Advancing Portfolio Optimization: Adaptive Minimum-Variance Portfolios and Minimum Risk Rate Frameworks. arxiv.org/abs/2501.15793

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Triad sou. @triadsou

7 months ago

Propensity Score Matching: should we use it in designing observational studies? Fei Wan. BMC Medical Research Methodology. bmcmedresmethodol.biomedcentral.com/articles/10.11…

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Daisuke Kurisu @hedrondice

7 months ago

ランダムオブジェクト解析の新しい論文を公開しました．距離空間に値を取るアウトカムをもつデータに対して差の差法(DID)の枠組みを導入して因果効果(GATT)を定義し，その推定方法を提案しています. Staggerd DIDへ拡張も議論しています．このチームでの論文第二弾です．arxiv.org/abs/2501.17436