advantages and disadvantages of various regression methods, including non-negative least squares, elastic net, weighted least squares, least absolute deviations, and nearest neighbors
Motivated by recent advances in large language models for Natural Language Processing (NLP), we design a time-series foundation model for forecasting whose out-of-the-box zero-shot performance on a variety of public datasets comes close to the accuracy of state-of-the-art supervised forecasting models for each individual dataset. Our model is based on pretraining a patched-decoder style attention model on a large time-series corpus, and can work well across different forecasting history lengths, prediction lengths and temporal granularities.
simple dynamic webpages
Our physical, 3D world consists of just two types of particles: bosons, which include light and the famous Higgs boson; and fermions—the protons, neutrons, and electrons that comprise all the "stuff," present company included.
If the fractional quantum Hall regime were a series of highways, these highways would have either two or four lanes. The flow of the two-flux or four-flux composite fermions, like automobiles in this two- to four-flux composite fermion traffic scenario, naturally explains the more than 90 fractional quantum Hall states that form in a large variety of host materials. Physicists at Purdue University have recently discovered, though, that fractional quantum Hall regimes are not limited to two-flux or four-flux and have discovered the existence of a new type of emergent particle, which they are calling six-flux composite fermion.
Nex was a straight-A student who enjoyed drawing, reading, playing video games Ark and Minecraft, and was devoted to their cat Zeus, Ms Benedict said.
To better control for risk, we construct a novel machine learning based value factor and find that it outperforms existing value factors while earning less from risk and more from mispricings.
The result is a loophole, allowing the entire auto industry to sidestep some of the more painful efficiency requirements by inflating vehicle footprints. And historically, drivers almost always lean toward larger vehicles. “In general, if everything else about the vehicle is the same, consumers prefer the bigger one, with the roomier interior,” says Kate Whitefoot, a senior program officer at the National Academy of Engineering and the lead author of the paper (she was a doctoral student at the time of the study). Combine a regulatory loophole with a built-in, well-known customer choice, and the industry lurches towards the inevitable: larger models and more light trucks.
Cryptocurrency funding rates across major exchanges. Both current funding rate and predicted funding rate. Normalized on various intervals: 1 hour, 8 hours, 1 day, 1 year.
a high carry predicts future crypto price crashes. They further imply that there is “excess volatility” of crypto futures relative to spot prices, i.e. our estimates imply that changes in futures prices are about ten times more volatile than changes in spot prices
the crypto futures basis tends to be elevated when smaller entities seek leveraged upside exposure.
This work thus provides strong empirical evidence towards developing scaling laws for reinforcement learning.
The first countries to set national mandates amid the coronavirus crisis were Vietnam and the Czech Republic, in mid-March
We document return predictability from deep-learning models that cannot be explained by common risk factors or limits to arbitrage.
For the first time he gave serious indications that he was considering a career in politics. Not as mayor or governor or senator.
Trump was thinking about running for president.
a strong positive effect of debt refinancing risk, as measured by refinancing intensity, on excess bond returns in the subsequent year, supporting the rollover risk channel