In　the　stereoscopic　or　multiview　display,　the　depth　video　illustrates　visual　distances　between　objects　and　camera.　To　promote　the　computational　efficiency　of　depth　video　encoder,　we　exploit　the　intra　prediction　of　depth　videos　under　Versatile　Video　Coding　(VVC)　and　observe　a　diverse　distribution　of　intra　prediction　modes　with　different　coding　unit　sizes.　We　propose　a　hybrid　scheme　to　further　boost　fast　depth　video　coding.　In　the　first　stage,　we　adaptively　predict　the　HADamard　(HAD)　costs　of　intra　prediction　modes　and　initialize　a　candidate　list　according　to　the　HAD　costs.　Then,　the　candidate　list　is　further　improved　by　considering　the　probability　distribution　of　candidate　modes　with　different　CU　sizes.　Finally,　early　termination　of　CU　splitting　is　performed　at　each　CU　depth　level　based　on　the　Bayesian　theorem.　Our　proposed　method　is　incorporated　into　VVC　intra　prediction　for　fast　coding　of　depth　videos.　Experiments　with　7　standard　sequences　and　4　Quantization　parameters　(Qps)　validate　the　efficiency　of　our　method.