5 papers
Finding Most Influential Sets
Lucas D. Konrad, Nikolas Kuschnig
Identifying most influential sets (MIS) - size- subsets whose removal maximally changes a target estimand - is typically infeasible because it requires searching over $\binom{n}…
Bayesian Indicator-Saturated Regression
Lucas D. Konrad, Lukas Vashold, Jesus Crespo Cuaresma
Structural break detection has emerged as an important tool for assessing the effects of policies in settings where conventional policy evaluation methods might not be applicable.I…
Basically Trapped -- A General Equilibrium Approach to the Undersupply of Basic Research in Free Markets
Lucas Darius Konrad
In this paper I propose a micro-based innovation driven general equilibrium growth-model allowing for endogenous entry and exit as well as three different types of research. I make…
Predictions for charged-hadron production in -O collisions at LHC energies
Luca Konrad, Philipp Schulz, Georg Wolschin
We present predictions for centrality-dependent charged-hadron production in p-O collisions at top LHC energies based on a nonequilibrium-statistical relativistic diffusion model.…
Testing Most Influential Sets
Lucas D. Konrad, Nikolas Kuschnig
Small influential data subsets can dramatically impact model conclusions, with a few data points overturning key findings. While recent work identifies these most influential sets,…