Results 171 to 180 of about 193,463 (332)
A Mixed Frequency BVAR for the Australian Economy*
A mixed frequency vector autoregression (MFVAR) model is proposed for nowcasting, forecasting and backcasting Australian macroeconomic indicators at monthly and quarterly frequencies. A novel augmented Minnesota prior for MFVAR models is also introduced.
Kelly Trinh, Jamie L. Cross
wiley +1 more source
How much are you willing to pay to avoid lockdowns? Evidence from the real estate market
Abstract In response to the COVID‐19 pandemic, numerous countries implemented lockdowns. In Victoria, Australia, a unique two‐tier system was employed, segregating areas with a Ring of Steel boundary and imposing additional restrictions within. This study focuses on the impact of lockdowns on housing prices and rents, exploring whether people are ...
Jian Liang, Chyi Lin Lee, Qiang Li
wiley +1 more source
Fast Injective Mesh Parameterization via Beltrami Coefficient Prolongation
Abstract We present a highly efficient and robust method for free boundary injective parameterization of disk‐like triangle meshes with low isometric distortion. Harmonic function–based approaches, grounded in a strong mathematical framework, are widely employed.
G. Fargion, O. Weber
wiley +1 more source
Enhancing unsupervised bearing fault diagnosis through structured prediction in latent subspace. [PDF]
Liu C, Hu R, Fang X, Luo W, Zhu C.
europepmc +1 more source
Formal Taylor Series and Complementary Invariant Subspaces [PDF]
Domingo A. Herrero
openalex +1 more source
Survey on differential estimators for 3d point clouds
Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source
A conjecture of Warnaar-Zudilin from deformations of lie superalgebras. [PDF]
Creutzig T, Garner N.
europepmc +1 more source
Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy
Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
wiley +1 more source

