We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley +1 more source
HybridTrust: on-device federated learning with crypto-agile security for legacy and quantum-safe medical devices. [PDF]
Khan UH +5 more
europepmc +1 more source
The importance of considering regimes in long‐term asset allocation to real estate
Abstract We investigate the long‐term, regime‐dependent asset allocation of an investor's wealth in a mixed‐asset portfolio that includes publicly traded real estate. We show that augmenting standard VAR models with Markov‐switching features not only improves predictive power for asset returns but also introduces economically meaningful horizon effects
Massimo Guidolin +2 more
wiley +1 more source
Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes. [PDF]
T S, Devadas RM.
europepmc +1 more source
Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley +1 more source
Experimentally Validated Quantum-Secure Federated Learning over a Multi-user Quantum Network. [PDF]
Liu ZP +8 more
europepmc +1 more source
Demand Estimation with Text and Image Data
ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani +2 more
wiley +1 more source
Optimization of cross-institutional medical federated learning framework driven by confidential computing. [PDF]
Xu F, Wei X, Zhao Z, Sun P.
europepmc +1 more source
Preemptive Entry and Technology Diffusion: The Market for Drive‐In Theaters
ABSTRACT This article studies entry preemption in new industries. We first test a key prediction of dynamic entry games: Entry preemption is most relevant in intermediate‐sized markets, where firms face highest uncertainty about future entry. Using US drive‐in theater market (1945–1957) data, we find robust evidence for this non‐monotonic relationship ...
Ricard Gil +3 more
wiley +1 more source
Communication-Efficient Federated Learning with Dual-Sided Sparse Aggregation for Edge Sensing Systems. [PDF]
Zhao H, Li J.
europepmc +1 more source

