The statistical sparse jump model, a recently developed, robust and interpretable regime-switching model, is used to analyze the factors driving the return dynamics of the largest cryptocurrencies. This method simultaneously incorporates feature selection, parameter estimation, and state classification. We consider a wide range of candidate features, including cryptocurrency, sentiment, and financThe statistical sparse jump model, a recently developed, robust and interpretable regime-switching model, is used to analyze the factors driving the return dynamics of the largest cryptocurrencies. This method simultaneously incorporates feature selection, parameter estimation, and state classification. A wide range of candidate features is considered, including cryptocurrency, sentiment, and fina

We consider the statistical sparse jump model, a recently developed, robust and interpretable regime switching model, to identify features that drive the return dynamics of the largest cryptocurrencies. The approach simultaneously performs feature selection, parameter estimation, and state classification. Our large number of candidate features comprises cryptocurrency, sentiment, and financial mar

Do negative income shocks increase conflict risk? I study the relationship between desert locust infestations and conflict in 26 African countries. Combining geolocalized data on locust swarms and bands with information on conflict events, I construct two panel datasets at spatial resolutions 0.5◦ × 0.5◦ and 0.1◦ × 0.1◦, covering the years 1997–2017. I find a negative relationship between locust i

A planar millimeter-wave shared-aperture array antenna is proposed and designed in this paper. By composing the substrate integrated waveguide (SIW) and the stripline, the K-band antenna is embedded inside the Ka-band antenna to achieve a smaller size and a low profile by sharing an aperture. The Ka-band antenna radiates through the parallel slot pairs on the surface of the SIW cavities with horiz

This short paper explores the gamification of an online academic conference. At the conference, digital gamification was meant to stimulate increased levels of participation among attendees. Instead, it resulted in a series of unintended consequences. Precisely because it was all too easy to score points and ascend the virtual leaderboard by means of machine-like grinding, the “Conference Challeng

Buildings Post Corona is a Swedish collaborative research project between Chalmers, KTH Royal Institute of Technology, Lund, and Umeå Universities. The project supports the building sector in designing and maintaining sustainable buildings with a healthy and good indoor environment. The COVID-19 crisis has stressed the importance and urge of this research.The scope of the project is to develop a m

I denna debattartikel lyfter sex forskare frågan att myndigheter och branschorganisationer delvis gav olika råd kring åtgärder för att begränsa risken för smittspridning inomhus. För att klara nästa pandemi krävs bättre samordning av riktlinjer kring ventilation och luftkvalitet.

Despite new energy-efficient technologies in buildings, discrepancies between predicted and actual energy use continue to occur, mainly due to the complexity and variability of users' behaviour(s). Users' interactions with energy-efficient solutions need to be studied holistically to better understand the complexity of their behaviour. This systematic literature review was conducted to identify wh

Buildings Post Corona is a Swedish collaborative research project between Chalmers, KTH Royal Institute of Technology, Lund, and Umeå Universities. The project intends to provide knowledge related to designing, maintaining and operating sustainable buildings with a healthy and good indoor environment.The project aims to contribute to the knowledge and processes needed for the construction and real