4   Artículos

 
en línea
Stanislav Kirpichenko, Lev Utkin, Andrei Konstantinov and Vladimir Muliukha    
A method for estimating the conditional average treatment effect under the condition of censored time-to-event data, called BENK (the Beran Estimator with Neural Kernels), is proposed. The main idea behind the method is to apply the Beran estimator for e... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Andrei Konstantinov, Stanislav Kirpichenko and Lev Utkin    
A new method for estimating the conditional average treatment effect is proposed in this paper. It is called TNW-CATE (the Trainable Nadaraya?Watson regression for CATE) and based on the assumption that the number of controls is rather large and the numb... ver más
Revista: Algorithms    Formato: Electrónico

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