liste <- 
  readLines('MAF.bib') |> 
  as_tibble() |> 
  filter(stringr::str_detect(value, pattern = '@|keywords')) |> 
  rowid_to_column() %>% 
  mutate(int_part = floor((rowid-1)/2), parity = rowid %% 2) %>% 
  select(-rowid) %>% 
  pivot_wider( values_from = value, names_from = parity, names_prefix = "key") |> 
  mutate(key1 = stringr::str_remove(key1, pattern = '@[:alnum:]+\\{')) |> 
  mutate(key1 = stringr::str_remove(key1, pattern = ',')) 
  
maf_liste <- liste %>% 
  filter(str_detect(key0, 'MAF')) %>% 
  select(key1) %>% 
  pull()
linear_liste <- liste %>% 
  filter(!str_detect(key0, 'MAF')) %>% 
  select(key1) %>% 
  pull()
  
NoCite(bib = myBib, linear_liste)References
Pour mieux comprendre l’algèbre linéaire utilisé
Brunton, S. (2020). Singular Value Decomposition. URL: https://www.youtube.com/watch?v=gXbThCXjZFM.
Cohen, M. X. (2022). Practical linear algebra for data science. O’Reilly Media, Inc.
Harville, D. A. (1998). Matrix algebra from a statistician’s perspective.
Yoshida, R. (2021). Linear algebra and its applications with R. Chapman and Hall/CRC. URL: https://shainarace.github.io/LinearAlgebra/.